Lirio

Role Description The Principal Design Technologist owns the end-to-end experience of Lirio's Agentic platform: how patients and members, enterprise clients, operators, developers, and AI agents discover, integrate with, operate, and get value from it. As a senior individual contributor and hands-on technical design leader, they turn product strategy into clear personas, end-to-end workflows, and agentic interaction patterns, then prove those experiences with working, code-based prototypes and demos rather than static mockups alone. They establish and steward the platform's design principles and a shared design system (a reusable component library and design tokens the broader team and AI tooling can build from), ensuring those principles are faithfully realized in the shipped product through close, hands-on collaboration with engineering. Partnering with technology and product leaders, they help shape platform strategy and lead requirements for the client, user, developer, and agent experience. The role is Lirio's design subject-matter expert and advocate across both the existing product and the Agentic platform. Essential Duties & Responsibilities - Agentic Platform Experience Design (80%) - Own the end-to-end experience design for the Agentic platform. - Define the full set of personas, including patients/members, enterprise clients and their administrators, internal and system operators, developers/integrators, and AI agents. - Design the workflows and interaction patterns for each persona. - Partner with technology and product leaders to shape platform strategy and lead requirements development for the client, user, developer, and agent experience. - Design the operator and administrator experience: how teams configure, deploy, operate, and monitor the platform across environments and tenants. - Design the developer and integration experience (DX): how developers, partners, and external agents discover, integrate with, and operate against Lirio's APIs, SDKs, and agent interfaces. - Establish, document, and steward the platform's design principles and a shared design system. - Build high-fidelity, code-based prototypes and demos that turn requirements and workflows into working, testable experiences. - Define how AI and agent behavior surfaces to people in ways that are transparent, trustworthy, and genuinely helpful. - Serve as the design subject-matter expert and advocate across the organization. - Existing User-Facing Product Surfaces (20%) - Provide product design support across Lirio's products, prioritizing by client and patient impact. - Build and enhance demos that support product discovery, requirements elicitation, and sales presentations. - Refine existing product surfaces as Lirio's client and patient experience needs evolve. Qualifications - Practical real-world experience, preferably in the healthcare space, leading design for enterprise-level B2B2C SaaS products and platforms. - 10+ years in product design and/or design technology, including leading design for a product-centric company and shipping B2B2C SaaS products end to end. - A portfolio demonstrating end-to-end ownership of complex, interactive product experiences, including prototypes you personally built. - Hands-on ability to build interactive prototypes in code, including HTML, CSS, and JavaScript/TypeScript with a modern front-end framework. - Hands-on use of AI and agentic coding tools to build prototypes, components, and design-system assets faster. - Experience designing AI-powered, data-driven, or agentic user experiences. - Experience designing developer and integration experiences (DX). - Deep expertise across product design, UX, UI, interaction design, and related design disciplines. - Fluency with design-system architecture and design tokens. - Proven ability to influence design and technical direction across senior stakeholders. - Excellent written and verbal communication skills. - Collaborative team spirit with great communication skills. Preferred Qualifications - Experience designing for healthcare or another regulated industry (HIPAA/PHI). - Working knowledge of accessibility standards (WCAG) and inclusive design. - Familiarity with modern design-system tooling and component registries. - Degree in a related field. Benefits - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave

Role Description We are seeking a high-energy, business-minded, and analytically driven Manager/Director of Legal Operations & Commercial Finance to act as the "operational backbone" of our legal and revenue-generating teams. In this hybrid role, you will bridge the gap between Legal, Sales, and Finance, ensuring legal systems and commercial deal structures are efficient, compliant, and scalable. You will own the legal tech stack, manage outside counsel, streamline contract workflows, and provide critical data to drive smarter business decisions. This job combines the strategic, vendor-management, and tech-enablement aspects of Legal Operations with the contracting, revenue recognition, and spend analysis aspects of Commercial Deal Finance Operations. This role will oversee the end-to-end lifecycle of commercial agreements—from initial deal structuring and pricing analysis to final signature. This role will also be responsible for optimizing the Legal & Compliance functions of day-to-day operations by standardizing & improving processes, enhancing operational efficiency, and monitoring departmental key metrics. This requires a unique blend of legal structural knowledge, financial modeling expertise, and process optimization skills. The ideal candidate is a detail-oriented, strategic, tech-savvy, and analytically minded leader who collaborates with Leadership to enable sound commercial decision-making and broader business success. Qualifications - 5+ years of experience in Legal Operations, Commercial Finance Operations, Sales Operations, or a similar in-house role, ideally in a fast-paced technology company. - BS/BA in Finance, Business, or Accounting. - Deep expertise in P&L analysis, budgeting, and financial modeling. - Ability to translate complex "legalese" into clear business cases for executive leadership. - Proven ability to translate legal and financial complexity for cross-functional stakeholders. - Strong experience with CLM systems (e.g., Ironclad), eBilling tools, and advanced Excel/Google Sheets modeling skills. - Deep understanding of SaaS contracting, revenue recognition standards, and vendor management. Requirements - Act as a "translator" between the legal team and Sales/Finance, accelerating contract review times and minimizing revenue roadblocks. - Collaborate with Sales/Finance to structure commercial deals, ensuring legal terms align with financial objectives, revenue recognition rules, and risk tolerance. - Develop predictive modeling and scenario planning to support strategic decision-making for complex multi-year deals or departmental growth. - Facilitate negotiations on commercial agreements (sales and vendor) and manage contracting standards and approval matrices. - Own and optimize the CLM system to ensure scalable, efficient documentation and clear visibility into deal statuses. - Build and maintain negotiation playbooks and template repositories to ensure consistency across all commercial transactions. - Implement, manage, and optimize the Legal tech stack, including Contract Lifecycle Management (CLM), e-billing, and matter management systems (e.g., Tropic, DocuSign). - Design and implement scalable, automated contracting processes (NDAs, MSAs, SaaS agreements) to enable self-service for Sales/Finance teams. - Maintain a centralized repository of contract templates, playbooks, and standardized legal language to ensure consistency. - Oversee law firm relationships, billing compliance, and fee structures to control external costs. - Design dashboards to track key performance indicators (KPIs) such as contract turnaround times, legal spend by matter type, and deal velocity. - Act as the central point of contact between Legal, Finance, Sales, and IT to align legal workflows with broader company goals. - Identify opportunities to automate manual tasks through AI or process redesign to improve departmental productivity. - Develop dashboards to track Key Performance Indicators (KPIs) such as contract turnaround times, spend by matter type, and law firm performance. - Provide CFO with actionable insights on contractual bottlenecks, legal spend risks, and operational inefficiencies. Benefits - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave - Salary range: $150k-$180k

Role Description The Regional Vice President of Sales plays a vital role in building Lirio’s market traction within Lirio’s target market of regional and national health plans. This position can be located remotely and reports directly to the Chief Growth Officer. The Regional Vice President of Sales will be responsible for: - Uncovering new opportunities and generating pipeline - Achieving sales goals and expanding existing accounts - Building a world-class brand in-market - Partnering with internal departments to drive outcomes for Lirio’s prospects, clients, and partners The right candidate understands that healthcare enterprise sales are complex and will be able to demonstrate their experience in cultivating relationships with key executive decision-makers across multiple levels and functions to drive deals to close. We are looking for a strategic and creative contributor who understands that acting as a value-added partner is critical to the sale. Essential Duties & Responsibilities: - Drive new sales with target Health System accounts by developing strategies that drive top of funnel activity and efficiently moving prospects through each stage of the sales funnel to close - Understand the network synergy between payers, health systems, employers, consultants, and other influencers and harness that influence to create leverage in driving deals forward - Work cross-functionally internally to identify and solve gaps that will help move deals forward faster - Generate interest in Lirio by building relationships with C-Level executives in target accounts - Update and maintain sales pipeline in company CRM (Salesforce) - Responsible for earning a “trusted advisor” relationship with prospective clients by focusing on key issues and strategic initiatives, keeping Lirio relevant in the eyes of the executive team Qualifications - 10+ years of relevant sales experience, preferably in earlier-stage virtual/digital health companies or at a health system - Proven success at cultivating highly collaborative relationships across key account functions, including Product, Clinical, National Accounts, Network, Legal and more - Experience selling AI/ML solutions at an early-stage healthcare technology company - Experience working with both national and regional Health Systems or Payors - Experience with complex contract negotiations - Comfortability working independently - Superb project management, organizational, communication, meeting prep, and follow-up skills - Strong public speaking skills and a willingness to present in front of large audiences when needed - Ability to effectively manage multiple priorities in a fast-paced environment - A firm understanding and fluency in healthcare economics and trends, specifically across enterprise health systems and health plans - Fluency in relationship-building, particularly with key decision-makers - Ability to flex between virtual and in-person sales calls when necessary - Prior experience with ZoomInfo/Definitive HC & Salesforce.com preferred Benefits - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave - Salary range: $180k + variable compensation

Position Summary Lirio is the leader in behavior change AI, combining behavioral science with artificial intelligence to move people to better health. Through Precision Nudging™, our intelligent behavior change journeys assemble and deliver personalized behavioral interventions to overcome unique barriers to engaging with and acting on health recommendations. By scaling personalized interventions, our clients deliver patient-focused experiences that initiate and drive sustained behaviors across their entire population, optimizing patient engagement, closing gaps in care, lowering costs, and measurably improving health outcomes. The Technical Project Manager is a delivery-focused role on the Growth team responsible for turning marketing and growth initiatives into successful clients with measurable outcomes. This Technical Project Manager (TPM) oversees the planning, execution, and delivery of complex technical projects, bridging the gap between engineering teams and business stakeholders. They manage project scope, timelines, budgets, and risks while leveraging technical expertise to guide software development, infrastructure, or IT projects for Lirio clients. This TPM owns end-to-end execution for cross-functional projects such as new product launches, product updates, new client launches, including data/integration and technical scoping work. The role drives day-to-day project management rigor (scope, schedule, dependencies, and risk), runs launch readiness and QA/UAT, coordinates stakeholders, and ensures work is deployed reliably with clear documentation and handoffs. Success in this role means faster, smoother launches; cleaner data; and repeatable operating rhythms that enable Lirio to scale at a start-up pace. This is a remote role with the opportunity to be hybrid if located in Tennessee. All applicants must be authorized to work in the US without sponsorship. Essential Duties & Responsibilities - Project Planning & Execution: Define project scope, deliverables, and schedules. - Technical Leadership: Work closely with developers, engineers, and QA teams to ensure technical standards within project scope are delivered. - Own end-to-end project governance: RAID (risks, assumptions, issues, dependencies), status reporting, stakeholder communication, and executive-ready updates. - Coordinate integrations & data ingestion across client and Lirio systems (e.g., CRM, marketing automation solutions, channel integrations, data warehouse/BI), including integrations, data mapping, and QA/UAT. - Operationalize Sales/Delivery Queue: intake/prioritization, Queue Dashboard across Lirio Departments, tracking plans, launch checklists, and post-test readouts. - Improve data quality and process integrity by defining standards (SOP’s) and process documentation; monitor and addressing gaps. - Support vendor/partner management where applicable (implementation partners, analytics tools), including timelines, deliverables, and change control. - Create and maintain process documentation, playbooks, and training materials for PMO operations and workflows. - Identify opportunities to automate and streamline recurring work to increase throughput and reduce errors. - Participate in regular team meetings and business reviews; perform other duties as assigned. Basic Qualifications - Bachelor's degree in related field - 5-7 years of related experience - Working knowledge of healthcare (health systems, payers and/or life sciences - Experience delivering projects across a marketing technology stack—CRM (Salesforce preferred), project management software (e.g., Rocket Lane, MS Project, Smartsheet, JIRA), and customer data/integrations (e.g., Workato/Zapier, webhooks/APIs, data warehouse/ETL). - Resilience - Inquisitive nature—desire to dig in, make a difference, and always keep learning. - Proactive, can-do attitude with a bias towards action. - Excellent communication skills, both verbal and written. - Highly organized, strong time management skills with high degree of attention to detail. - Strong networking and business development skills. - Ability to research, identify and qualify prospective leads. - Ability to quickly learn technology and process (e.g. SalesForce, Rocket Lane, MS Office, etc.) Benefits - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave - Salary range: $125k-$150k

Role Description The Senior Cloud Engineer is responsible for helping define and support cloud infrastructure architecture, cloud engineering practices, infrastructure automation, and related tooling for Lirio applications, products, services, and engineers. This role provides end-to-end support to technical engineers for computing platforms and resources and offers guidance in both tooling and team integrations to mitigate risks and enhance innovation. This candidate will provide technical support by aiding cloud, software, data, and machine learning engineers in designing and architecting cloud-agnostic and Cloud Native Computing Foundation (CNCF) aligned cloud-native solutions, acquiring infrastructure, and deploying them at scale; providing technical support to cloud practices and architectural approaches; supporting and running Lirio’s Software-As-A-Service (SAAS) solutions while helping Lirio and our clients with strategic integration of custom packaged solutions like an enterprise solution to be deployed within client cloud environments as needed. Essential Duties & Responsibilities - Support the design and planning of cloud-agnostic solutions capable of being deployed to multiple cloud providers and customer public cloud and private data centers. - Design, implement, test, deploy, maintain, and support cloud-native and cloud-agnostic self-healing infrastructure across environments, multiple cloud providers, and customer data centers as a top-level contributor. - Align cloud infrastructure with HITRUST & SOC2 compliance and support audits. - Plan, implement, and support a developer platform to improve self-service. - Collaborate with development teams to evaluate and identify optimal cloud services and infrastructure solutions and address issues as they arise. - Review existing systems and offer recommendations for improvement. - Identify, analyze, mitigate and resolve infrastructure issues, vulnerabilities, and application deployment issues through monitoring, scanning, observability, and processes. - Support and improve Lirio’s engineering practices including an emphasis on quality and security. - Document decisions, work product, and cloud practices. - Review code, designs, and contributions from others, promoting stability, security, compliance, scalability, readability, and maintainability. - Write clean and maintainable code/infrastructure-as-code (IaC). - Assist in project planning, estimation, and resource allocation. - Help manage infrastructure spend efficiency. - Implement and support build & CI/CD pipeline engineering efforts as needed. - Pursue continuous learning through individual study, online courses, product documentation, and community resources to bring innovation to the technical organization. - Design, implement, and support stateful database infrastructure including managed cloud databases and Kubernetes-native database operators. Qualifications - 5+ years in software product development, cloud engineering, and operations across public or private clouds (AWS & Azure; OCI a plus) including hands-on work with secure, scalable enterprise systems (Java or Python). - Bachelor's Degree in Computer Science or related field required. - Master's Degree in Business Analytics, Business Administration, or similar preferred. - Articulated ability to help others, collaborate cross-functionally, thrive in a fast-paced environment, and stay current on emerging cloud technologies and industry trends. - Experience supporting infrastructure for a health tech or healthcare related company with a software product. - Strong proficiency with containerization (Docker, Kubernetes), the Linux operating system, cluster management/administration, and deployment tooling (Helm, ArgoCD) for distributed, event-driven architectures including stateful workloads and database operators. - Strong proficiency in DevSecOps principles and automation frameworks (Terraform, Ansible, Azure Key Vault), scripting (Python, Bash), and CI/CD pipelines (Azure DevOps – Gradle, Poetry, JFrog). - Experience designing and securing network infrastructure end-to-end (in-transit and at-rest) and meeting compliance frameworks (HITRUST, PCI) with SOC2 attestation. - Skilled at using observability platforms (Datadog or similar) to review operational metrics and drive improvements. - Demonstratable command of a programming language where Java, Python, and Go are preferred though demonstrable, articulable skills with TypeScript, C#, or other languages will be considered. - Software engineering background or previously held a software engineering role which may include platform engineering or reliability engineering. - Proficient with Microsoft Entra ID/AD. - Ability to quickly learn company terminology and processes. - Self-starter with strong time management and work planning skills. - Experience deploying and supporting the same software on multiple clouds at the same time. - Experience with microservices and eventually consistent architectures. - Experience with event-driven architectures, asynchronous messaging, and Apache Kafka. - Experience running highly available, cloud-agnostic, production data and event infrastructures in Kubernetes. - SRE experience with large scale cloud-based systems. - Experience building infrastructure for Data and Machine Learning teams. - Experience deploying, operating, and migrating relational database infrastructure including Amazon RDS and CloudNativePG (CNPG) on Kubernetes, including high availability configuration, backup/restore, and monitoring for stateful workloads. Benefits - Medical (HSA available). - Dental. - Vision. - Short-term & long-term disability (company-paid). - Life & AD&D (company-paid). - 401K with company match. - 10 paid holidays, quarterly company closure dates, + holiday week company closure. - Flexible time off policy. - Work from home. - 6 weeks paid parental leave. - Salary range: $140k- $165k upon conversion.

Lirio is a technology/software company that provides expertise in a variety of behavioral science domains (e.g., behavioral economics, social psychology, public health), data science, and machine learning to drive consumer engagement, close gaps in preventive and chronic care, and promote health and well-being across an individual’s lifespan. Lirio’s behavior change AI platform unites behavioral science with advanced artificial intelligence (AI) to deliver Precision Nudging health interventions. Precision Nudging is the application of behavioral science to health interventions personalized by AI to each individual that overcome barriers to action at the right time and place for scalable, behavior change. This is a remote role with the opportunity to be hybrid if located in Tennessee. All applicants must be authorized to work in the US without sponsorship. To ensure an excellent onboarding experience and integration into the company, new colleagues will spend their first week onsite at one of our offices in Tennessee. Travel expenses will be paid. This is a requirement. This is a contract-to-hire role. The contract period is 3-6 months with conversion dependent on performance. Position Summary The Software QA Lead Engineer is accountable for quality strategy and execution across Lirio’s cloud-native platform, user interfaces, and customer integrations. This role leads a shift-left quality approach across squads (Platform, Enterprise, Data/ML, etc.), owning test strategy, automation, and quality gates for web/UI experiences, services, APIs, event-driven workflows, and data flows in a regulated healthcare environment. This role involves mentoring QA engineers, designing and implementing test automation frameworks, and conducting code and test reviews, while partnering closely with Engineering, Product, Cloud/SRE, and Customer Operations to ensure releases are reliable, observable, and audit-ready. Essential Duties & Responsibilities Quality Assurance Leadership (50%) - Lead the design, implementation, and execution of comprehensive test strategy across APIs, services, event-driven workflows (Kafka), and UI surfaces. - Own and evolve automated test coverage (unit, integration, contract, end-to-end) and maintain a risk-based manual test strategy where automation is not practical. - Ensure test coverage for functional, regression, integration, performance, and reliability testing (timeouts, retries, idempotency, failure modes). - Advocate for quality engineering practices (TDD where appropriate, CI quality gates, code review standards, and testability in design). - Define and maintain quality gates in CI/CD (e.g., minimum coverage thresholds, contract test pass, critical path E2E pass, vulnerability scan pass where applicable). - Partner with Cloud/SRE to validate release readiness via observability (logging, metrics, tracing) and operational dashboards - Embed quality and testability considerations into feature and system design by reviewing application logic, APIs, data models, event contracts, and UI workflows in partnership with engineers. - Establish and enforce standards for automation quality, including flakiness reduction, stabilization practices, clear ownership, and expectations for timely remediation of broken or unreliable tests. - Define and document QA processes and best practices. Product Owner & Development Support (10%) - Collaborate with product owners and developers to clarify requirements and acceptance criteria. - Participate in backlog refinement and sprint planning to ensure testability of features. - Facilitate agile ceremonies as needed. Mentorship & Subject Matter Expertise (25%) - Build and maintain shared QA practices, documentation, and knowledge-sharing mechanisms (playbooks, training, cross-coverage) to avoid single points of failure across squads and releases. - Standardize testing approaches for event-driven systems, including message schema validation, backward compatibility, replay scenarios, idempotency, ordering assumptions, and failure handling (Kafka and similar messaging technologies). Continuous Learning & Innovation (10%) - Stay current with industry trends, tools, and technologies in software testing. - Promote continuous improvement and innovation within the QA team. - Evaluate and adopt tooling that improves cycle time (local test environments, ephemeral environments, test data management). Production Support & Issue Resolution (5%) - Support production releases, participate in incident triage, and drive root cause analysis with Engineering, SRE/Cloud, and Customer Operations. - Track defect escape trends and drive corrective actions (test additions, gating changes, process improvements). - Triage and resolve defects, collaborating with development and support teams. Qualifications - 5-7 years of related experience - Bachelor's degree in related field - Experienced with test automation for APIs/services (e.g., JUnit/TestNG for JVM services, PyTest for Python services) - UI automation experience (e.g., Cypress or Playwright, Jasmine) where applicable - Performance testing (e.g., Gatling, k6, JMeter) and contract testing (e.g., Pact or equivalent) experience - Observability tooling familiarity (Datadog/OpenTelemetry concepts) - Familiarity with CI/CD tools and processes - Experience with version control (e.g., Git) - Cloud platforms (e.g., AWS, Azure) - Scripting and programming languages (e.g., Java, TypeScript, Groovy, Python) - Agile methodologies (e.g., Scrum, XP, SAFe) - Experience with Databases/SQL, Kafka, and Kubernetes - Leadership and coaching skills - Ability to operate in ambiguity and improve systems iteratively (not waiting for perfect process) - Strong judgment around risk-based testing and release decisions - Strong organizational and time management skills - Excellent communication and collaboration abilities - Adaptability and problem-solving skills - Ability to translate complex technical concepts for non-technical stakeholders Benefits (Eligible after Initial Contract Period) - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave - Salary range: $130k-$150k

Lirio is a technology/software company that provides expertise in a variety of behavioral science domains (e.g., behavioral economics, social psychology, public health), data science, and machine learning to drive consumer engagement, close gaps in preventive and chronic care, and promote health and well-being across an individual’s lifespan. Lirio’s behavior change AI platform unites behavioral science with advanced artificial intelligence (AI) to deliver Precision Nudging health interventions. Precision Nudging is the application of behavioral science to health interventions personalized by AI to each individual that overcome barriers to action at the right time and place for scalable, behavior change.  This is a remote role with the opportunity to be hybrid if located in Tennessee. All applicants must be authorized to work in the US without sponsorship. To ensure an excellent onboarding experience and integration into the company, new colleagues will spend their first week onsite at one of our offices in Tennessee. Travel expenses will be paid. This is a requirement.  Position Summary  The Senior AI Developer Platform Engineer is responsible for designing, building, and maintaining the AI-augmented software delivery platform that enables Lirio's engineering team to build software faster and safer using AI coding agents. This role owns the end-to-end developer toolchain, from work item intake through AI agent coding loops to validated, compliant pull requests, ensuring that developers and AI coding agents can produce production-ready code together within Lirio's HIPAA/HITRUST-regulated environment.  This is a developer platform role, not a product engineering role. The focus is entirely on accelerating how we build software: the tooling, agent workflows, compliance guardrails, CI/CD integrations, and developer experience that make every engineer on the team measurably more productive. While Lirio's product includes AI-powered capabilities (precision nudging, behavioral science models, engagement optimization), this role does not work on those product AI systems. Instead, it builds the platform and processes that the teams building those systems use to deliver faster and with higher quality.  The Senior AI Developer Platform Engineer will collaborate cross-functionally with platform, cloud, security, and machine learning research engineers, as well as system architects, to ensure the AI developer platform integrates cleanly with Lirio's existing infrastructure and compliance posture.  This role carries urgency. The advantage from AI-assisted development compounds over time, and this person needs to deliver working developer platform capabilities in weeks, not quarters, starting with what we have today and iterating based on real results.  Essential Duties & Responsibilities  AI Coding Tool Evaluation & Selection  - Evaluate and recommend AI coding tools (Cursor, Claude Code, GitHub Copilot, Codex CLI, and emerging tools) against Lirio's developer workflows, compliance constraints, and codebase characteristics. - Conduct structured evaluations of new models and tools as they launch, testing against real coding tasks in our environment, not just vendor benchmarks. - Maintain the evaluation framework and tooling inventory, ensuring the team uses approved, security-reviewed tools on compliance-sensitive systems.  Developer Harness Architecture & Implementation  - Design and build the agent orchestration layer: instruction files (.cursor/rules/, AGENTS.md, CLAUDE.md), MCP connectors to Azure DevOps and/or GitHub, context packaging templates, and agent routing configurations. - Enable AI coding agents to execute multi-step software development tasks autonomously (decompose, plan, code, test, validate, and submit PRs) with quality gates at each phase and defined escalation points. - Design agent coordination patterns (planner-coder-reviewer, sub-agent delegation) and workflow state management for complex tasks that span multiple agent steps. - Define human escalation triggers so that when agents encounter ambiguity, scope boundaries, or compliance-sensitive decisions, the workflow surfaces the decision to a human rather than guessing. - Ensure AI coding agents receive the right context for each task type, including project conventions, compliance constraints, coding standards, and relevant codebase context. Manage context window budgets so agents maintain accuracy across large codebases. - Build and maintain work decomposition patterns and templates that structure work items for effective agent execution. - Architect integrations between the AI developer platform and the development ecosystem, including work item tracking, source control, CI/CD pipelines, and code review workflows, forming a coherent, automated delivery chain.  Compliance Guardrails for AI-Generated Code  - Build rules, instruction files, and CI pipeline checks that flag PHI exposure, tenant isolation concerns, and security issues in AI-generated code before it reaches human review. - Translate HIPAA/HITRUST compliance requirements into automated guardrails, using defense-in-depth controls spanning instruction files, sandbox configurations, CI checks, and human review gates. - Define and maintain permission tiers for AI agent operations (read-only, metadata access, code writes with approval) to maintain BAA compliance. - Ensure AI-assisted delivery produces auditable artifacts, including PR conventions, work item linking, and AI-usage tracking that support compliance evidence collection. - Secure the agent input chain by evaluating and mitigating prompt injection risks from work item descriptions, code comments, PR content, and 3rd party instructions that flow through the harness into agent context.  Model Rotation & Evaluation  - Systematically test new AI models (Claude Opus, GPT Codex, Gemini Pro, etc.) against Lirio's actual coding tasks to determine when to adopt, swap, or route differently across team workflows. - Maintain model routing guidance: which models are best suited for which task types (complex architecture vs. boilerplate generation vs. test writing vs. code review). - Monitor model quality across updates and pin versions where stability is critical.  Standards for AI-Assisted Software Delivery  - Define which types of code changes AI agents can submit with minimal review vs. which require full human compliance review. - Establish quality gates and agent supervision practices that define what "done" looks like for AI-assisted work before it reaches human review. - Create and maintain branch/PR conventions for AI-assisted work (agent/<work-item-id>-<short-desc>, PR templates with work item links, AI-assisted tagging). - Define work item conventions (readiness criteria, acceptance criteria format, agent status tags) that structure work for both human and AI execution.  Incident Response for AI Tooling  - When AI-generated code introduces defects, vulnerabilities, or compliance issues, diagnose whether the root cause is in the instruction files, the context packaging, the model routing, or the review process. - Tighten guardrails and adjust workflows based on incident learnings. - Maintain a feedback loop between production issues and the developer platform's safety controls.  Measurement & Observability for the AI Developer Platform  - Build and maintain observability for the AI developer platform, tracking agent task completion rates, quality gate pass rates, cost per task, guardrail trigger frequency, and model performance trends across the team's workflows. - Use platform telemetry to identify where AI-assisted delivery is producing value vs. where it's creating friction, and feed those insights back into harness design, model routing, and workflow standards.  Engineering Support & Technical Leadership  - Provide subject matter expertise on AI-assisted development practices to engineering teams. - Build prototypes, reference integrations, and proof-of-concept solutions to validate platform design decisions and de-risk implementations. - Promote AI-assisted engineering tools and modern development practices consistent with Lirio's engineering culture. - Document platform architecture, workflows, integration guides, and best practices.  Cross-Functional Collaboration  - Serve as a contributing member of Lirio's Architecture Team, ensuring the AI developer platform maintains architectural coherence with the broader system. - Partner with Product Management and delivery leadership to shape how AI-assisted delivery integrates with planning and execution workflows. - Work closely with Cloud, Security, and DevOps teams to ensure the AI developer platform operates within Lirio's infrastructure and security boundaries. - Participate in the Engineering Council, contributing to engineering standards, patterns, and technical governance as they relate to AI-augmented delivery.  Basic Qualifications  - Bachelor's degree in related field - 5-7 years of related experience - AI-assisted development fluency: Hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude Code, Codex CLI, or similar). Not just casual use, but experience building workflows, instruction files, or agent orchestration patterns around them. - Platform engineering or developer productivity background: Experience building internal developer platforms, CI/CD pipelines, developer tooling, or infrastructure that accelerates how engineering teams deliver software. - Compliance in regulated environments: Experience working within HIPAA, HITRUST, SOC 2, or equivalent compliance frameworks. Ability to translate compliance requirements into automated guardrails rather than manual review bottlenecks. - Programming proficiency: Strong skills in Java and/or Python (Lirio's primary stack). Ability to work across codebases, write tooling, and understand the code that AI agents produce. - Agent orchestration and integration: Familiarity with MCP (Model Context Protocol), LLM APIs, instruction file systems, or similar patterns for configuring and constraining AI agent behavior. Experience building integrations between developer tools and enterprise systems (work item tracking, source control, CI/CD). - CI/CD and DevOps proficiency: Strong experience with CI/CD pipelines, automated testing, code review workflows, and deployment automation. Experience with Azure DevOps (ADO) is a plus; GitHub Actions/Workflows experience is also valuable. - Security awareness: Understanding of secure software delivery practices, including code scanning, dependency management, access controls, and audit trail requirements in the context of AI-generated code. - Bias toward rapid, iterative delivery: This role needs to produce working developer platform capabilities fast, shipping in weeks, learning from real usage, and improving continuously. We're looking for someone who builds momentum by delivering early wins, not someone who designs a complete system on paper before starting. - Experience in healthcare technology or another heavily regulated industry. - Familiarity with multi-model AI routing, model benchmarking, or model evaluation frameworks preferred. - Experience with infrastructure as code (Terraform), containerization (Docker, Kubernetes/AKS), and cloud platforms (Azure preferred). - Demonstrated ability to lead platform adoption and drive organizational change across engineering teams. - Technical writing ability. This role produces documentation, guides, and standards that the entire team uses.  Benefits - Medical (HSA available)  - Dental  - Vision  - Short-term & long-term disability (company-paid)  - Life & AD&D (company-paid)  - 401K with company match  - 10 paid holidays, quarterly company closure dates, + holiday week company closure  - Flexible time off policy  - Work from home - 6 weeks paid parental leave - Salary range: $165k-$185k

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior AI Platform Engineer is responsible for architecting, building, and maintaining the agentic software execution layer within Lirio’s Precision Nudging Platform. This position bridges the gap between MLOps and autonomous AI orchestration by engineering the workflows for AI agents to operate securely and reliably. - Design and implement infrastructure to support LLM-based autonomous agents capable of multi-step reasoning, planning, and task execution. - Build and manage directed workflows using state machines and tools to coordinate complex AI-human handoffs. - Lead the architectural design and technical implementation of interoperability standards that enable seamless communication between autonomous agents and diverse software ecosystems. - Architect and maintain cloud-native platforms that support end-to-end AI workflows, from model experimentation to high-availability production deployment. - Develop evaluation frameworks and observability dashboards to monitor agent accuracy, latency, cost, and safety guardrails. - Optimize agent performance by managing tool discovery and context window efficiency through standardized protocols. - Embed healthcare regulatory compliance (e.g., HIPAA) directly into the platform layer through automated guardrails and audit trails. - Implement security controls against prompt injection and ensure PII/PHI de-identification within agentic data flows. - Provide subject matter expertise and technical support to engineering teams during implementation. - Build prototypes, reference integrations, or proof-of-concept solutions to validate design decisions and de-risk complex implementations. - Serve as a contributing member of Lirio’s Architecture Team, helping to maintain architectural coherence and platform quality. - Diagnose and respond to issues in the implementation of agent orchestrations, adjusting guardrails and workflows as needed. Qualifications - 3–5+ years of experience in healthcare technology, with a deep understanding of clinical workflows, Electronic Health Record (EHR) integration (e.g., Epic, Cerner), and HL7/FHIR data standards. - Bachelor's degree in related field preferred. - Proven track record of building cloud-native autonomous agent systems in regulated environments. - Extensive experience in LLMOps/MLOps, specifically managing the transition of agentic prototypes into production-grade healthcare applications. - Hands-on experience with LLM APIs, AI coding tools (cursor, co-pilot, claude code, etc.) and orchestrations frameworks. - Strong understanding of compliance requirements in regulated environments (HIPAA/HITRUST). - Ability to design, implement, and maintain complex automation and agent workflows. - Experience with security, audit, and risk mitigation in software delivery. - Expert proficiency in Python (primary for AI) and C# or Java (for enterprise integration). - Hands-on experience with Azure OpenAI Service, Azure AI Agent Service, and Azure Machine Learning (Azure ML). - Proficiency with LangChain, Microsoft Semantic Kernel, and Databricks and/or Snowflake. - Deep hands-on experience with emerging agent communication standards, specifically the Model Context Protocol (MCP). - Advanced skills in Terraform for Infrastructure as Code (IaC), Docker, Kubernetes (AKS), and Azure DevOps (ADO) for CI/CD. - Experience with Pinecone, Weaviate, or Azure AI Search for high-dimensional data retrieval. - Prior work with Model Context Protocol (MCP) or similar integration standards. - Demonstrated ability to lead platform adoption and drive organizational change. Benefits - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave - Salary range: $165k-$185k

Role Description The Senior System Reliability Engineer (SRE) at Lirio is responsible for the reliability, scalability, and performance of our cloud-native applications and infrastructure. This role leads the design and implementation of automation, monitoring, and incident response processes, and mentors other engineers in SRE best practices. The Senior SRE partners with development teams to ensure robust, secure, and highly available systems, and drives continuous improvement in operational excellence. This role operates as a senior, hands-on reliability engineer embedded with product and platform teams. The Senior SRE is accountable for: - Defining and enforcing service-level objectives (SLOs) - Reducing operational toil through automation - Improving system reliability through proactive engineering rather than reactive support This role is not ticket-driven operations and is expected to influence architecture, development practices, and incident readiness across the platform. Essential Duties & Responsibilities - Reliability Engineering & Automation (40%) - Architect, implement, and maintain automated solutions for deployment, monitoring, alerting, and incident response using Lirio’s technology stack (AWS, Azure, Kubernetes, Kafka, Java, TypeScript, Groovy, Databases/SQL). - Develop and manage infrastructure as code (e.g., Terraform, AWS CloudFormation). - Build and optimize CI/CD pipelines for seamless, reliable delivery. - Define, implement, and continuously refine service-level indicators (SLIs), service-level objectives (SLOs), and error budgets for critical services. - Identify and reduce operational toil through automation, platform improvements, and architectural changes. - Performance analysis and optimization of Lirio systems and services. - Ensure high availability and scalability of services through proactive engineering, load testing, and capacity planning across multi-tenant and client-specific environments. - Peer Reviews & Collaboration (10%) - Review infrastructure changes, automation scripts, and reliability-impacting code changes to ensure production readiness. - Collaborate with software engineers to embed reliability, security, and operational best practices into development workflows. - Partner with software engineering teams during design and architecture discussions to identify reliability risks early. - Operational Support & Incident Management (20%) - Monitor system health using modern observability tools (e.g., Prometheus, Grafana, Datadog). - Participate in a defined on-call rotation supporting production systems, with clear escalation paths and expectations. - Contribute to and maintain incident severity definitions, response procedures, and no-blame postmortem practices. - Lead incident response, root cause analysis, and postmortems for production issues. - Triage and resolve issues, ensuring minimal downtime and rapid recovery. - Support client onboarding and production rollouts by ensuring reliability, observability, and operational readiness standards are met. - Mentorship & Knowledge Sharing (10%) - Mentor and coach engineers on reliability engineering principles, operational ownership, and incident response best practices. - Design processes to share operational knowledge and avoid single points of failure. - Advise colleagues on architecture and reliability strategies. - Help establish shared operational ownership across teams to reduce single points of failure and knowledge silos. - Continuous Learning & Innovation (10%) - Stay current with industry trends in reliability engineering, cloud operations, and automation. - Bring innovation to operational practices and system design, evaluating and introducing new tools and technologies as appropriate for Lirio. - Evaluate new tooling with an emphasis on operational simplicity, security, and long-term maintainability. - Documentation & Process Improvement (5%) - Define and document operational processes, incident response playbooks, and reliability standards. - Contribute to operational planning, incident reviews, and reliability documentation. Qualifications - 5-7 years related experience - Bachelor's Degree in related field - Linux systems and networking fundamentals (DNS, TCP/IP, TLS) - Distributed systems debugging and failure analysis - Load, stress, and fault-injection testing - CI/CD tools and processes - Version control (e.g., Git) - Cloud platforms (e.g., AWS, Azure) - Containers and orchestration (Kubernetes) - Kafka (messaging/streaming) - Scripting and programming languages (e.g., Java, TypeScript, Groovy, Python) - Agile methodologies (e.g., Scrum, XP, SAFe) - Databases/SQL - Observability/monitoring tools (DataDog) Benefits - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave Salary Range $130k-$150k