Senior AI Engineer with ReactJS

Role Description

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.

• 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

Qualifications

• 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

Requirements

• 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