• Build and ship AI agents that serve real users: tool-calling LLM systems with structured output, parallel API orchestration, and streaming responses. • Design evaluation harnesses and quality scoring — we use Langfuse, rubrics to measure safety, effectiveness, and personalization. • Own the full loop: prototype a new agent capability, validate it with evals, deploy it to staging and production, monitor traces, and iterate. • Improve reliability, latency, and cost through prompt caching strategies, token budgets, retry logic, and observability. • Write the tools agents use: API integrations with Pydantic validation, exercise search over local databases, structured workout submission.

• Data systems design and implementation. • Participate in design and code reviews. • Collaborate across software, hardware, and research teams at PsiQuantum. • Testing and maintenance of database software. • Champion and serve as an exemplar of good software development practices at PsiQuantum.

Descripción de la empresa We are building the next generation of cloud-native software for the hospitality industry. Our platform powers complex, multi-tenant environments across multiple companies and product lines, serving high-demand operational workflows at scale. We operate in a high-availability, high-performance context where reliability and scalability are non-negotiable. Now, we are evolving the platform toward AI-native capabilities, integrating intelligent automation, AI-assisted workflows, and data-driven decision layers directly into our core services. We are a product-driven, engineering-first organization. We value architectural thinking, ownership, continuous delivery, and pragmatic innovation. If you enjoy designing resilient distributed systems and want to help evolve a mature platform into an AI-native ecosystem, you’ll feel at home here. Descripción del empleo We're on a mission to make hotel operations effortless. Our cloud-native platform already powers thousands of properties worldwide, and we're doubling down on AI-driven automation to remove the busy-work from hospitality. We're a lean, product-obsessed team that values curiosity, data-driven decisions and shipping to production daily. If you love turning complex problems into elegant, resilient systems, we'd love to meet you. How you'll have impact ● Architect a New Suite: You will be pivotal in building a brand-new product suite that spans multiple internal products and companies, tackling challenges in scalability, reusability (Monorepo), and multi-tenancy. ● Own the Full Vertical: You won’t just hand off APIs. You’ll design resilient backend services (Node.js/Kotlin) and consume them in rich, AI-native UIs (Next.js/React). ● Build AI-Native Experiences: From backend agents using LangChain to streaming generative UIs with the Vercel AI SDK, you will bring AI into the core of the user experience. ● Drive Engineering Excellence: Your input on architecture is expected. You’ll champion Domain-Driven Design (DDD), clean code, and performance optimization across the entire stack. What you'll do ● Ship end-to-end features using TypeScript (Node.js/Next.js), while maintaining or integrating with services in Kotlin/Java. Craft modern frontends with React, Tailwind, and Vercel AI SDK, managing complex state with TanStack Query and Zustand. ● Engineer AI agents and workflows (LangChain, MCP) that integrate retrieval, memory, and tool use. ● Own your infrastructure: manage deployments using Terraform (IaC) on AWS/Kubernetes and handle Vercel configurations for the frontend. ● Obsess over quality: Maintain high confidence with Playwright (E2E) and Kotest/Jest/Vitest (Unit), and continuously tune performance (latency, Core Web Vitals). ● Leverage AI tooling (Copilot, Cursor, Claude) to accelerate development and share workflows with the team. Requisitos ● 6+ years building production software. ● True Fullstack Fluency: Deep expertise in TypeScript (React/Node.js) is a must. Familiarity with Kotlin or Java is highly valued. ● Cloud Native: Proven experience running containerized workloads in AWS, Kubernetes, or serverless environments. ● Data Polyglot: Comfortable with both relational and NoSQL databases (MySQL, DynamoDB, Redis). ● Architectural Eye: You understand DDD and distributed systems patterns, not just syntax. ● Communication: You communicate clearly in Spanish / English and thrive on feedback loops. Nice-to-have superpowers ● Experience scaling Monorepos (Turborepo, Nx). ● Hands-on with AI coding assistants or agent frameworks (LangChain, Autogen). ● Experience with GitOps or MLOps pipelines. Información adicional Why you'll love it here ● Remote-first culture with flexible schedules and core hours. ● Goal-oriented work with an amazing, agile, cross-functional team. ● Learning budget and career plan. ● An international and diverse environment where you matter. - Type of contract: CDD

Role Description This role supports the delivery of scalable, interoperable healthcare technology that enables timely access to critical clinical data and improves care coordination and patient outcomes. The role applies working knowledge of healthcare interoperability standards such as DICOM and HL7 alongside modern cloud‑native engineering practices—including microservices, RESTful APIs, and containerized platforms built with JavaScript frameworks and deployed on AWS, Azure, or GCP—to deliver secure, reliable, and scalable systems that healthcare organizations can depend on for high‑quality patient care. You’ll enjoy the flexibility to work remotely* from anywhere within Canada (except for the Saskatchewan province) as you take on some tough challenges. - Lead Cloud PACS implementations from design through golive and production validation - Design and support (hybrid) cloud imaging architectures integrating onprem modalities/PACS with cloud platforms - Implement and troubleshoot DICOM image workflows (storage, routing, query/retrieve, lifecycle management) - Design and configure HL7 v2 interfaces (ADT, ORM, ORU) to support patient and order workflows - Partner with PACS, RIS, EMR, and Imaging teams to optimize clinical and radiology workflows - Deploy, configure, and support imaging software across cloud infrastructure, virtual machines, and Windows servers - Monitor, test, and validate system performance, reliability, and interoperability - Provide golive and L3 production support for missioncritical imaging systems - Collaborate with engineering and product teams to improve platform reliability and integration quality Qualifications - Experience with containerization and orchestration tools such as Docker and Kubernetes - Experience supporting production healthcare systems under tight SLAs - Familiarity with REST APIs and cloud‑native messaging patterns Requirements - Healthcare Integration experience: 3+ years in technical healthcare IT roles such as Integration Engineer, PACS Administrator, or Systems Analyst - Skilled in technical problem-solving and comfortable in customer-facing work - DICOM expertise: Deep mastery of DICOM standards, including image routing, metadata structures, and real‑world interoperability challenges - Imaging Systems & Workflows: Solid understanding of PACS/VNA environments and end‑to‑end clinical imaging workflows - Interoperability & Messaging: Hands-on experience with HL7, integration engines (Mirth Connect preferred), and solving complex hospital interface challenges - Cloud Platforms: Hands‑on experience with AWS, Azure, or GCP (compute, storage, networking, security) - DICOM Fundamentals: Solid knowledge of DICOM standards, SOP classes, metadata, modalities, and interoperability challenges - HL7 Fundamentals: Practical experience with HL7 v2 messaging and integration engines (e.g., Mirth Connect) - Imaging Systems: Solid understanding of PACS, VNA, RIS, and end‑to‑end imaging workflows - Infrastructure: Windows Server, Active Directory, IdP credentialing, virtualization, and network basics - Automation & Scripting: Python, JavaScript, Powershell or similar for diagnostics and workflow automation - Databases: Working knowledge of SQL databases (e.g., PostgreSQL/MySQL/NoSQL) - Security & Compliance: Awareness of healthcare security and privacy requirements (HIPAA/GDPR) - Customer‑Facing Delivery: Solid troubleshooting, documentation, and stakeholder communication skills - Clinical–Technical Translation: Ability to communicate effectively with both developers and clinical stakeholders, translating requirements across domains - Security & Compliance: Working knowledge of healthcare privacy and security regulations (HIPAA, GDPR, etc.) Benefits You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.