Gen AI Engineer

Menlo Park, CA, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • LLM
  • RAG
  • Gen AI

Summary

Role: Gen AI Engineer
Location: Menlo Park, CA
Mode: Hybrid with 3 days’ work from office.
Candidate will need to appear in person interview in any of the locations NYC/ Alpharetta, GA or Menlo Park, CA.
Only W2  Tax Terms will work.
 
 
About the Role
We are seeking a Gen AI Engineer to build intelligent, scalable applications powered by large language models (LLMs). You will develop RAG solutions, AI agents, and Python-based services that solve real-world business problems while ensuring accuracy, reliability, security, and performance.
 
 
Key Responsibilities
  • Design, develop, and deploy LLM-powered applications using RAG architectures, embeddings, vector databases, and prompt engineering.
  • Build AI agents capable of reasoning, planning, tool usage, and multi-step task execution.
  • Create evaluation frameworks, guardrails, and monitoring processes to improve model quality and safety.
  • Integrate commercial and open-source LLMs with internal systems, APIs, and enterprise data.
  • Develop clean, maintainable Python code and production-ready services.
  • Collaborate with product, data, and engineering teams to translate requirements into effective AI solutions.
  • Troubleshoot, optimize, and continuously improve application performance.
 
Required Qualifications
  • Strong Python programming and software development skills.
  • Practical experience with LLMs, RAG pipelines, embeddings, vector stores, and prompt engineering.
  • Understanding of agent frameworks, function calling, APIs, and workflow orchestration.
  • Familiarity with REST APIs, databases, Git, testing, and cloud platforms.
  • Strong analytical, communication, and collaboration skills.
 
Desired Qualifications
Experience with LangChain, LlamaIndex, model evaluation, fine-tuning, and deployment workflows.
 
 
Nice-to-Have
Knowledge of MLOps, CI/CD, containerization, observability, and responsible AI practices.
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: jeanmart
  • Position Id: 9137487
  • Posted 1 day ago
Contact the job poster
MR

Manimathaw Ramakrishnan

Recruiter @ Jean Martin, Inc

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