| Location | Georgia, GA |
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Senior AI Engineer with ReactJS
Remote in Georgia, & 4 others
AI Solution Engineering
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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