Senior AI Engineer with ReactJS
We are seeking a Senior AI Engineer with strong expertise in ReactJS and Python to join our team and help build, debug, and scale intelligent applications powered by LLMs and agent-based architectures. The ideal candidate combines deep backend engineering skills with a sharp eye for frontend quality and thrives on tracing complex issues across the full stack — from UI rendering to agent reasoning failures.
Responsibilities
- Design and build async endpoints, background tasks, and streaming responses using Python and FastAPI
- Develop and maintain agent-based systems, including prompt design, tool-calling, and RAG pipelines
- Diagnose and resolve LLM failure modes such as hallucination, context contamination, and non-deterministic output
- Tune retrieval quality through chunking strategies, embeddings, and vector search optimization
- Build and fix production-grade React UIs, including layout, responsive behavior, and streaming state management
- Identify and resolve concurrency issues, including shared mutable state and callback bleed under concurrent requests
- Operate within Docker and Kubernetes environments, including deployment and pod/log debugging
- Write and maintain test coverage using pytest and vitest, including mocks and fixtures
- Trace symptoms to root causes across frontend, backend, and agent layers to ensure system reliability
Requirements
- 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
Nice to have
- 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
