5+ years of experience with Python, FastAPI, and asynchronous programming patterns
Proficiency in agent frameworks such as pydantic-ai, LangGraph, or LangChain, with hands-on experience in prompt engineering and tool-calling
Expertise in RAG systems, including chunking, embeddings, and vector search tools such as Qdrant or pgvector
Skills in React (hooks) and CSS, with the ability to build and troubleshoot complex, responsive UIs
Understanding of concurrency and state management, with experience implementing request-scoped state, locks, and thread-safety
Familiarity with Docker and Kubernetes, including container management and deployment debugging
Background in testing practices using pytest and vitest, with consistent use of mocks and fixtures
Strong debugging skills with the ability to trace issues across frontend, backend, and agent layers
Experience with AWS Bedrock or other model gateway platforms beyond OpenAI
Familiarity with Langfuse or other LLM observability tooling
Knowledge of python-pptx or document generation tools for PowerPoint and PDF outputs
Background in regulated industries such as pharma or life sciences, including familiarity with FDA PMA/510(k) and IVDR terminology
Skills in Helm chart authoring and CI/CD pipelines using GitHub Actions
Design sensibility for building premium, non-generic user interfaces
Experience integrating SSO/OAuth solutions such as Azure AD or MSAL
Familiarity with vector DB operations, including Qdrant collection management and embedding pipeline maintenance
Understanding of prompt-eval or LLM-testing frameworks for measuring answer quality over time