Senior AI/ML Engineer

GXO Warehouse Company, Inc.
Atlanta, GA, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

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
+23 more
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 β€” LLM Observability and Analytics Platform Agentic-AI Git Fastapi Pgvector Kubernetes Restful APIs OpenSearch Docker Microservices

Requirements

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

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