AI Engineer
Core
Build production-grade AI tools and prototypes for Health Economics and HTA tasks like systematic literature reviews and evidence synthesis.
Role type
Associate AI Engineer (LLM applications & pipelines)
Builds
Production agents, reusable pipeline modules (retrieval, screening, extraction), and internal AI tools for health economics reports.
Domain
Health Economics and HTA (Health Technology Assessment)
Deliverable
production ML models
Required skills
Python, LLM applications (RAG, agent workflows), NLP for document extraction, SQL, CI/CD, REST APIs
Preferred skills
Regulated industry experience, OCR/computer vision, agent orchestration (LangGraph), LLM evaluation tools
Technologies
Azure OpenAI, Anthropic, AWS Bedrock, FastAPI, PostgreSQL, LangGraph, LangSmith, Langfuse, Jira, GitHub Copilot, Cursor
Responsibilities
Rebuild validated prototypes as production agents, build reusable pipeline modules, write tests and evaluation harnesses, run pilots on live projects, handle routine runs and change requests for existing AI tools.
Seniority
Associate, early-career (3-4 years total, 2-3 in AI/ML)
