annaautismcare - Full Stack AI Engineer
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). • Strong product instincts — you think about the end user, not just the technical implementation, and hold a high bar for what you ship. • Comfort with velocity: shipping fast, iterating in the open, and maintaining quality under pressure. • Clear written communicator who can engage effectively with non-technical clinical and operational stakeholders across time zones. • Mission alignment and genuine interest in the role technology can play in improving outcomes for autistic children and their families.
Responsibilities
• AI Agent Development • 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. • Full-Stack Product Development • 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. • Data & Infrastructure • 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.
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.
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