Senior GenAI Engineer LangChain / LangGraph

Hybrid in Richmond, VA, US • Posted 6 hours ago • Updated 6 hours ago

Contract W2

Contract Corp To Corp

Contract Independent

On-site

Depends on Experience

Fitment

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Job Details

Skills

Python
Docker
Flask
LangChain
Generative Artificial Intelligence (AI)
Amazon Web Services
Microsoft Azure
LangGraph
Prompt Engineering

Summary

Design and build LLM-powered applications using LangChain and LangGraph for agentic and workflow-based systems.
Develop RAG (Retrieval-Augmented Generation) pipelines with embeddings and vector databases.
Implement multi-agent orchestration using LangGraph for complex reasoning and task automation.
Integrate LLMs via OpenAI, Azure OpenAI, Anthropic APIs with secure prompt engineering practices.
Build scalable backend services using Python, FastAPI/Flask, and REST APIs.
Work with vector stores like Pinecone, FAISS, Chroma, or Weaviate for semantic search.
Optimize LLM performance, cost, and latency in production environments.
Deploy GenAI services on AWS/Azure with Docker and CI/CD pipelines.
Collaborate with data, product, and platform teams in an Agile environment.
Ensure observability, logging, and monitoring for LLM applications in production.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90868495
Position Id: 8877504
Posted 6 hours ago

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Senior GenAI Engineer LangChain / LangGraph

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Job Details

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Summary

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