Mid-Senior AI Engineer - Agents & RAG (LLMs)

United Global Technologies

Menlo Park (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

United Global Technologies is seeking a Mid-to-Senior AI Engineer to design, build, and support production-grade AI Agents and Generative AI solutions for a leading U.S. Department of Energy laboratory.

This hands-on role focuses on building AI agents, RAG pipelines, and data integrations across AWS Bedrock, Google Gemini for Government, and Microsoft Copilot/Copilot. You will mentor a junior engineer while collaborating with security, cloud, and data teams.

Qualifications

  • Bachelor's or equivalent in CS or related field.
  • 4+ years software engineering or data engineering.
  • 2+ years Python development.
  • Experience with Generative AI/LLMs.
  • Hands-on with AI Agents or RAG.
  • Cloud experience (AWS/GCP/Azure).

Responsibilities

  • Design and build AI Agents and agentic workflows using LLMs.
  • Develop AI agents interacting with data, APIs, and tools.
  • Build RAG applications with enterprise data.
  • Develop Python services, APIs, and back-end components.
  • Create data pipelines for ingestion, embeddings, retrieval.
  • Deploy AI apps with DevOps and CI/CD.

Skills

Python development
AI agents
RAG pipelines
LLM apps
API integration
Cloud platforms
Git & CI/CD
Containers
Embeddings
Problem solving

Education

Bachelor's degree in CS or related
Equivalent experience

Tools

LangChain
LangGraph
Semantic Kernel
Docker
Kubernetes
Terraform
OpenSearch
Pinecone
Weaviate

Job description

United Global Technologies is seeking a Mid-to-Senior AI Engineer to design, build, and support production-grade AI Agents and Generative AI solutions for a leading U.S. Department of Energy laboratory.

This hands-on role focuses on building AI agents, RAG pipelines, and data integrations across AWS Bedrock, Google Gemini for Government, and Microsoft Copilot/Copilot. You will mentor a junior engineer while collaborating with security, cloud, and data teams.

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