Senior AI Engineer with ReactJS

About the role

We are looking for a Senior AI Engineer who combines deep backend expertise with strong frontend skills. The role focuses on building, debugging, and scaling intelligent applications powered by large language models (LLMs) and agent‑based architectures.

Key responsibilities

• Design and implement async endpoints, background tasks, and streaming responses using Python and FastAPI.
• Develop and maintain agent‑based systems, including prompt design, tool‑calling, and Retrieval‑Augmented Generation (RAG) pipelines.
• Diagnose and resolve LLM failure modes such as hallucination, context contamination, and non‑deterministic output.
• Optimize retrieval quality through chunking strategies, embeddings, and vector‑search tuning (e.g., Qdrant, pgvector).
• Build and maintain production‑grade React UIs with responsive layouts and streaming state management.
• Identify and fix concurrency issues, including shared mutable state and callback bleed under concurrent requests.
• Operate in Docker and Kubernetes environments, handling deployments and pod/log debugging.
• Write comprehensive test coverage with pytest and vitest, using mocks and fixtures.
• Trace symptoms across frontend, backend, and agent layers to ensure system reliability.

Required profile

• 5+ years of experience with Python, FastAPI, and asynchronous programming.
• Proficiency with agent frameworks such as pydantic‑ai, LangGraph, or LangChain, and hands‑on prompt engineering.
• Expertise in RAG systems, chunking, embeddings, and vector‑search tools.
• Strong skills in React (hooks) and CSS for building complex, responsive interfaces.
• Solid understanding of concurrency, request‑scoped state, locks, and thread‑safety.
• Experience with Docker and Kubernetes for container management and debugging.
• Background in testing using pytest and vitest, with consistent use of mocks and fixtures.
• Excellent debugging abilities across the full stack.

Required skills

• Python
• FastAPI
• Asynchronous programming
• pydantic‑ai / LangGraph / LangChain
• Prompt engineering
• RAG pipelines
• Chunking, embeddings
• Qdrant, pgvector
• React, hooks, CSS
• Concurrency, state management, locks
• Docker, Kubernetes
• pytest, vitest, mocks, fixtures