This page tracks remote ai engineer openings that are location-eligible for Colorado.
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• Design, build, and maintain agentic systems and LLM-powered applications that automate healthcare workflows, data pipelines, and clinical decision support — from conception through production deployment • Build and orchestrate agents using LLM APIs (OpenAI, Anthropic, etc.) and agentic frameworks (LangChain, LangGraph, CrewAI, or custom orchestration) to solve complex, multi-step healthcare problems • Develop prompt libraries, agent instructions, and reusable "skills" that improve agent accuracy, consistency, and reliability across different use cases and data domains • Build validation and confidence-scoring layers that flag low-confidence agent decisions for human review before production deployment; establish guardrails and review workflows for agent-authored code and outputs • Own end-to-end delivery of AI-automated systems — from problem scoping and requirements gathering through agent development, testing, and validated production deployment • Implement rigorous evaluation and QA frameworks for agentic systems — including golden datasets, test cases, output validation, hallucination detection, and regression testing • Establish and maintain evaluation metrics for agent performance, reliability, and clinical appropriateness; measure agent accuracy, hallucination rates, clinical validity, and real-world impact • Implement observability, evaluation, and regression testing frameworks specific to agentic systems — decision tracing, lineage logging, and performance tracking • Collaborate with data engineering and platform teams to integrate agent-built outputs (dbt models, transformation logic, recommendations) into existing data architectures and clinical workflows • Ensure all agentic systems comply with healthcare regulations (HIPAA, FDA guidance on AI/ML) and responsible AI practices — including explainability, auditability, and clinician trust • Continuously evaluate new LLM models, agent frameworks, prompt engineering techniques, and tooling; recommend adoption or migration based on healthcare-specific requirements (accuracy, cost, latency, regulatory alignment) • Partner with data engineering to establish robust data validation and input validation layers for agents — agents are only as good as the data they operate on • Lead experimentation and measurement of AI-automated systems impact on speed, quality, compliance, and cost across healthcare workflows • Document agent architectures, prompt strategies, evaluation frameworks, and best practices for both technical and non-technical stakeholders • Mentor AI Connector Engineers and other team members on agentic development patterns, LLM-powered application design, and responsible AI practices • Work on-call as needed to support production agentic systems, troubleshoot agent issues, and respond to performance degradation or hallucination detection
Build software faster. The One DevOps Platform enables your entire org to collaborate around your code. We're hiring.
• Architect GitLab's AI-native learning ecosystem, including adaptive learning paths, coaching agents, bots, intelligent recommendations, and automated content workflows. • Lead GitLab's company-wide AI fluency and enablement strategy in partnership with the Enterprise AI team, from baseline literacy through builder capability. • Embed AI fluency into onboarding, leadership development, and role-specific learning pathways. • Own the multi-year learning platform strategy and roadmap, including platform evaluations, migrations, integrations, and capability expansions. • Drive operational excellence across the Talent Management & Development team by managing the product roadmap, release schedule, intake processes, documentation, automations, and cross-functional coordination. • Partner with People Technology as the technical lead for Talent Development, translating learner and business needs into architecture briefs and co-building agents, workflows, and platform integrations. • Partner with People Analytics to define measurement infrastructure and dashboards for learning engagement, AI adoption, behavior change, capability growth, and program return on investment. • Lead global compliance training and vendor management, including audit readiness, negotiations, renewals, quarterly business reviews, budgets, adoption targets, and investment cases.
Bjak is a technology company focused on making financial services easy, fun and more rewarding for everyone
• Build customer-facing and internal product features end to end. • Develop web flows, backend APIs, admin tools, dashboards and operational systems. • Support products across insurance, payments, savings, investing, travel and financial services. • Work with product, design, mobile and operations teams to launch fast. • Integrate APIs, handle data flows and improve production reliability. • Use analytics, feedback and production issues to improve features after launch. • Help build tools that reduce manual work and improve speed across the business.
Bjak is a technology company focused on making financial services easy, fun and more rewarding for everyone
• Build AI-powered workflows, assistants, agents and automation systems. • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools. • Work with product and engineering teams to turn manual processes into scalable AI-native systems. • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems. • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable. • Prototype quickly, test with users or operators, then productionize what works. • Improve speed, quality and consistency across workflows using AI where it creates real business value.
• Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; • Documents, reviews and ensures that all quality and change control standards are met; • Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; • Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; • Program configuration/modification and setup activities on large projects using HD approved methodology; • Configures commercial off the shelf solutions to align with evolving business needs. • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively. • Actively seeks ways to grow and be challenged using both formal and informal development channels; • Learns through successful and failed experiment when tackling new problems; • Collaborates with other team members in agile processes; • Assists in creating new and better ways for the team to be successful; • Relates openly and comfortably with diverse groups of people; • Builds partnerships and works collaboratively with others to meet shared objectives.
Based in Ottawa, Ontario, Canada, Harris Computer Systems provides mission-critical software solutions for organizations across the United States and Canada, in
Role Description The Principal AI Forward Deployed Engineer sits at the intersection of deep technical AI work and direct customer impact. You will embed with strategic customers to architect, build, and ship production AI-agent systems that solve their hardest problems — then generalize what you learn back into reusable platform capabilities. This is a hands-on principal role: you write the code, design the agent architecture, and own the evaluation systems that make AI outputs trustworthy in production, while also setting technical direction and influencing across teams. - Collaborate with clients and internal teams to understand business requirements, targets, and challenges. - Design and develop software solutions to meet client specifications and project targets. - Examine and troubleshoot issues reported by clients. - Utilize programming skills to ensure delivered code meets high standards of quality and reusability. - Collaborate closely with clients to validate and implement changes that align precisely with their requirements. - Create and update relevant documentation. Qualifications - Education in Information Technology, Computer Science, or related field. - Experience in Software Development or relevant experience. - Proficiency in programming languages. - Knowledge of software development methodologies, best practices, and tools. - Proven problem-solving, analytical, and troubleshooting skills. - Excellent communication and interpersonal skills.
#1 Manufacturing ERP Software on the Salesforce Platform.
• Own the internal systems that let Rootstock engineers ship production Salesforce code fast and ship it correct • Extend and deepen autonomous coding pipelines • Own root-cause engine and evaluations • Maintain foundational architectural decision records • Build TDD tooling that changes behavior • Decide on the next generation of quality and safety hooks
#1 Manufacturing ERP Software on the Salesforce Platform.
• You design and build the agents, tools, and AI-native interactions that turn a complex ERP into something that feels like it's working for the user • Agents with real authority over real workflows • Typed, intent-routed tools over MCP • A composable, AI-first UI • The evaluation harness behind all of it
Self-described as the leading platform for search-powered solutions, Elastic helps organizations, their customers, and their employees find what they need faster while protecting a
Role Description Elastic is expanding the Ecosystem Architects team focused on the most consequential AI providers in the AI Ecosystem — OpenAI and Anthropic. We are looking for a builder, an architect who will own the technical strategy and relationships with both. We are prioritizing candidates in the San Francisco Bay Area, and Seattle, WA. In this hands-on individual contributor role you'd be driving the co-build strategy through deeper integrations with both ecosystems, influencing Elastic Product strategy, building the prototypes, and shaping the GTM content that would help customers bring frontier intelligence to unstructured data. As the AI Ecosystem Architect you will build, manage and own the technical relationships end-to-end — bringing both technical depth and the credibility that comes from having built things yourself. "The deep integrations with OpenAI and Anthropic are at the center of how Elastic thinks Frontier AI will shape enterprises when brought to unstructured enterprise data. Elasticsearch is purpose-built to solve the retrieval problem for AI agents, and the person in this role will influence the most consequential decisions in how Elastic technology integrates with these ecosystems." — Global VP, Head of Business & Corporate Development, Elastic What You Will Be Doing - BUILDING - Driving the co-build strategy with Elastic's Product team — identifying and prioritizing the integrations that deepen both partnerships and ensuring Elastic's retrieval, security, and observability capabilities are integrated in how OpenAI and Anthropic build for the enterprise. - Serving as Elastic's technical voice inside both ecosystems — working closely with partner and product teams at OpenAI and Anthropic so that Elasticsearch's role in agentic workflows is well understood and well represented. - Building reference architectures and working prototypes that demonstrate Elasticsearch as the retrieval layer for agentic AI — giving developers building with OpenAI and Anthropic platforms a clear path to grounded, governed context. - Working with Elastic's Security and Observability product teams to drive integration patterns and showcases that demonstrate how frontier AI enhances Elastic's capabilities. - Influencing Elastic's product roadmap with the technical signal you gather inside both ecosystems — what partner teams are building, what customers are asking for, and where the gaps are. - LEADING - Owning the technical and strategic relationships with partner-facing counterparts at OpenAI and Anthropic. - Being Elastic's named point of contact inside both ecosystems and at Elastic — the person that partner teams reach for when they want to understand how Elastic fits, what's possible, and what's next. - Building and managing a regular executive-level cadence to align on progress, priorities, and where investment should be focused. - Keeping Elastic's internal teams — product, engineering, field, and alliances — connected to what's happening inside both partner ecosystems, and vice versa. - EVANGELIZING - Co-authoring joint solution briefs, technical guides, and co-branded content that help customers see the joint value clearly. - Representing Elastic at AI-focused partner events, meetups, developer conferences, technical summits, and community forums — bringing the hands-on depth to land with a practitioner audience. - Working with Elastic marketing teams to translate integrations into enablement that the field can use and customers can act on. Qualifications - 7+ years in technical presales, partner engineering, solutions architecture, product management. - Proven experience owning technical relationships with strategic AI or platform partners — serving as the named technical point of contact. - Hands-on experience building prototypes and integration demos — to validate ideas alongside partner and Product teams before they become roadmap commitments. - A track record of influencing product roadmaps and partner priorities. - Strong communication across audiences — equally effective presenting at a developer conference and working through an architecture question with a partner engineer. - Willingness to travel 30% to partner offices, events, and conferences. Bonus Points - Direct experience working with OpenAI and/or Anthropic in a technical capacity, including familiarity with their partner programs and how both ecosystems make integration decisions. - Technical depth in at least one of Elastic's core solution areas: context engineering for AI agents, AI-powered security operations, or AI-powered observability. Fluency across all three is a differentiator. Compensation Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is: - $184,200 — $291,400 USD The typical starting salary range for this role in the select locations listed above is: - $184,200 — $291,400 USD Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Embracing parenthood with a minimum of 16 weeks of parental leave.
Extraordinary opportunity. Exceptional experience.
Role Description We’re building a new product engineering team to create AI-powered platforms from scratch. Our AI Personal Lines team has already shown what’s possible, standing up cloud infrastructure and delivering a production-ready application in a matter of weeks. We’re hiring for a senior full stack engineer to help scale that approach. You’ll work across the stack, integrate AI and third-party services, and ship in a secure cloud environment. You’ll join a small, high-trust team where speed, ownership, and delivery matter. Duties and Responsibilities: - Build full-stack features across a TypeScript and Next.js front end and a cloud-based back end, using a server-side AI proxy approach to keep API calls and secrets out of the browser. - Integrate AI and LLM capabilities, including OpenAI APIs, retrieval-augmented generation, conversational flows, and agent frameworks like LangGraph, along with GPT actions and MCP servers. - Stand up and connect cloud infrastructure on Azure, including Functions (Python), Service Bus, Storage, API Management, Front Door, and B2C authentication. - Build and maintain integrations with external APIs for things like quoting, identity, document retrieval, and third-party data. Handle authentication, validation, and the edge cases that come with real-world usage. - Take ownership of code as it moves from sandbox to dev to staging to production, using CI/CD, clear branching practices, automated tests, and quality checks. - Partner with security to support a hardened architecture, including penetration testing and compliance requirements. - Work in a fast-paced, AI-supported development workflow with daily standups and Jira tracking, and troubleshoot production issues as they come up. Qualifications - 5+ years of experience building and shipping production web applications as a full stack engineer. - Strong TypeScript and JavaScript skills with a modern React framework, ideally Next.js, along with working experience in Python. - Hands-on cloud experience, preferably in Azure including Functions, Service Bus, Storage, API Management, Front Door, and B2C. Strong AWS or GCP experience is also a good fit. - Experience integrating third-party REST APIs, including authentication, rate limiting, and handling real-world, inconsistent payloads. - Security-minded engineering habits, including proper handling of secrets, use of request proxying, and a clear understanding of network boundaries. - Comfort working with CI/CD, Git-based workflows, and promoting code through multiple environments. - Proven ability to move quickly and deliver in ambiguous, fast-changing environments as part of a small team. Requirements - Nice to Have: - Insurance, fintech, or other regulated-industry experience. - Infrastructure-as-code and cloud-architecture depth. - Experience integrating many external vendors or partners in parallel under time pressure. Benefits - Medical, Dental, Vision - Life and AD&D insurance - FSA / HSA - Commuter & Child Care FSA - Cancer Support Benefits - Pet Insurance - Accident & Critical Illness - Hospital Indemnity - Employee Assistance Program (EAP) - 11 Paid Holidays - Flexible PTO - 401K
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Python, AWS, Cloud, SQL, Java, JavaScript
