> Markdown version of [/jobs/ext/4331933-senior-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4331933-senior-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/ML Engineer - **Company:** GXO Warehouse Company, Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Distributed Systems, Identity and Access Management, JSON, Python (Programming Language), PostgreSQL, OpenAI, Search Technologies, Software Engineering, SQLAlchemy, Data Streaming, WebSocket, Data Logging, Pinecone, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Generative AI, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Git, Fastapi, Pgvector, Kubernetes, Restful APIs, OpenSearch, Docker, Microservices - **Published:** October 7, 2026 - **Apply:** https://www.careerjet.com/jobad/us564cad9e7289d96317e6eaad159a28a4 ## About the Role We are looking for a Senior AI/ML Engineer with strong Python and hands-on LLM experience to build AI agents and RAG solutions for production applications. Key Skills: * 10+ years of software development experience with strong Python * 2+ years of hands-on LLM/Generative AI development * Strong experience with LangChain and/or LangGraph * Experience building RAG pipelines, including embeddings, vector search, re-ranking, and answer generation * Experience with OpenAI/Azure OpenAI APIs, tool calling, and streaming * Strong Async Python experience with asyncio, FastAPI, and httpx * Good understanding of prompt engineering and structured JSON responses * Experience with PostgreSQL, SQLAlchemy, and Alembic * Experience with REST APIs, microservices, and distributed systems * Knowledge of Git, CI/CD, Docker, and Kubernetes * Experience building reliable applications with retry, error handling, logging, and monitoring Good to Have: * Multi-agent AI systems and LangGraph StateGraph * WebSocket / SSE Langfuse or other LLM observability tools * Vector databases such as Pinecone, OpenSearch, or pgvector * Multimodal/vision AI AWS services such as EKS, Aurora, IAM, and SSM * Telecom or field-service experience