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Open nowFirst seen 24 hours ago

GenAI Engineer — LLM & Agentic Systems

Jobvous Staffing Solutions, LLC8 open roles

Where
Houston, Texas, United States
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Your applicationOpen nowGenAI Engineer — LLM & Agentic SystemsJobvous Staffing Solutions, LLC · Houston, Texas, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Jobvous Staffing Solutions, LLC's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 24 hours ago

The posting

GenAI Engineer — LLM & Agentic Systems

Can you build a GenAI system that goes to production — not just a demo that impresses in a boardroom?

About the opportunity:

Jobvous Staffing Solutions is placing Generative AI Engineers at Houston's energy, technology, and financial services companies. These companies are past the experimentation phase — they're building production RAG systems, multi-agent workflows, and LLM-powered tools that operate at enterprise scale.

This is the most in-demand AI profile in Houston right now. If you've shipped GenAI systems that real users rely on, we want to talk to you immediately.

Responsibilities:

Design and build production RAG pipelines and LLM-powered applications

Develop multi-agent AI systems using LangChain, AutoGen, or similar frameworks

Build and deploy AI copilots and decision-support tools for enterprise workflows

Integrate GenAI solutions with existing enterprise systems via APIs

Evaluate and fine-tune open-source and proprietary LLMs for domain-specific tasks

What we are looking for:

2+ years building production GenAI / LLM systems (not just prototypes)

Strong Python and prompt engineering skills

Hands-on experience with LangChain, LlamaIndex, or AutoGen

RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB) experience

Azure OpenAI or AWS Bedrock experience highly valued

GitHub with live GenAI projects is a major differentiator — include your link

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