Build and maintain production-grade AI agents that take action across ANNA's clinical and operational workflows — scheduling, intake, RCM, clinical decision support — using LLM reasoning over our shared data ontology.
Design and implement tool use, state management, and failure handling for multi-agent workflows, ensuring reliability and quality in production.
Contribute to ANNA's MCP server suite, exposing core data and product surfaces — Salesforce, scheduling, RCM, HR — to AI agents in a standardized, composable way.
Implement and optimize RAG pipelines using pgvector, including embedding strategies and vector search, to surface relevant clinical history at the point of care.
Build and iterate on clinician-facing product surfaces in React, ensuring they integrate seamlessly with ANNA's AI agent backend and fit the real-world workflows of clinical teams.
Own features end-to-end: from backend API design in Django/FastAPI through to the front-end experience, with a high bar for quality at every layer.
Iterate quickly in the open with clinical and operational end users, incorporating feedback and shipping improvements with velocity.
Contribute to ANNA's clinical data ontology — the shared, specialty-agnostic data foundation that powers all AI agents, decision support, and outcome measurement across the platform.
Write clean, well-documented, HIPAA-compliant code and contribute to CI/CD pipelines and engineering best practices as the team scales.
Participate in architecture discussions and help make pragmatic build vs. buy decisions across the stack.

Requirements

4+ years of software engineering experience, with demonstrated full-stack capability across front-end (React) and back-end (Django, FastAPI, or equivalent Python frameworks).
Hands-on experience building AI agents or agentic workflows, with practical understanding of LLM tool use, prompt design, and production reliability considerations.
Experience with RAG pipelines, vector databases (pgvector, Pinecone, Weaviate, or similar), and embedding-based retrieval in production or near-production contexts.
Familiarity with MCP or equivalent tool-calling/integration protocols a strong plus.
Experience working in healthcare or other regulated environments (HIPAA, GDPR) preferred; genuine care for data privacy and security readiness.
Professional proficiency in English; Polish fluency not required but welcomed.
Legally authorized to work in Poland (B2B contract or employment via Polish entity).

Benefits

Competitive rates benchmarked to the Warsaw market
Engaged via a Contractor of Record (CoR) arrangement — we handle all local compliance, contracting, and payments so you can focus on the work.
Fully remote within Poland
Flexible working hours with meaningful afternoon overlap with our US East Coast team (EST/EDT).
High-ownership, high-autonomy role with direct impact on a platform that touches real children and families.
A collaborative, mission-driven team building something genuinely novel in one of the most underserved areas of pediatric healthcare.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI agentsLLM reasoningRAG pipelinespgvectorReactDjangoFastAPIembedding strategiesvector searchAPI design

Soft Skills

collaborationfeedback incorporationquality assuranceproblem-solvingcommunicationiterationreliability focususer-centric designpragmatic decision-makingvelocity in shipping improvements