Full Stack AI Engineer

Full-Stack AI Engineer

Poland (Remote)

$40 - $80 USD per hour / zł143.93 - zł287.52 per hour

ANNA is on a mission to transform how autism care is delivered, leveraging technology to standardize the highest quality of clinical care for autistic individuals across specialties, at scale.

We believe the future of neurodevelopmental care is AI-native: where every clinician is enabled by intelligent tooling, every workflow is optimized for impact, and every child receives care anchored in real-time data and evidence. We're rebuilding the operating model from the ground up — using AI to drive operational excellence, clinician enablement, and clinical quality simultaneously.

That means building high-impact AI agents and products with velocity across the full stack, from RCM automation and scheduling to clinical decision support and longitudinal outcome tracking. Our stack is React, Django, FastAPI, and Postgres — with pgvector powering the retrieval layer and MCP servers as our composability layer.

We're looking for a Full-Stack AI Engineer based in Warsaw to join our engineering team, working closely with our US-based VP of Engineering and clinical stakeholders to build the agentic infrastructure and product surfaces that power ANNA's platform.

This is a hands‑on, high‑ownership role. You'll ship across the full stack — building both the AI agent backends and the clinician‑facing product surfaces they power — while contributing to the shared data ontology and MCP server suite that makes ANNA's architecture composable across specialties. Warsaw's CET/CEST timezone gives you natural afternoon overlap with our US East Coast team, enabling meaningful real‑time collaboration alongside deep focus time in your mornings.

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.

Qualifications

• 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…