GenAI Engineer — LLM & Agentic Systems
Jobvous Staffing Solutions, LLC, Houston, TX, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr