GenAI Engineer LLM

Hybrid in Raleigh, NC, US • Posted 13 hours ago • Updated 13 hours ago
Contract W2
6 Months
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Collaboration
  • Development Testing
  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Optimization
  • Orchestration
  • POC
  • Python
  • Research
  • Startups
  • Agentic AI
  • Multi-agent systems
  • RAG
  • AI/ML

Summary

Job Title: GenAI Engineer LLM Location: Raleigh, NC Relocation Required Duration: 6+ Months Contract-to-Hire

We are looking for a hands-on GenAI Engineer with strong experience building and deploying LLM and Agentic AI solutions in production environments.

Key Responsibilities & Requirements:

  • Design, develop, and deploy Agentic AI and multi-step/multi-agent systems, including agent coordination, architecture, and orchestration.
  • Build and optimize Retrieval-Augmented Generation (RAG) solutions using LLMs, vector search, embeddings, retrieval, and reranking techniques.
  • Develop multiple AI-powered bots/applications capable of supporting a large volume of end users.
  • Own the complete AI development lifecycle, from research and POC through development, testing, optimization, and production deployment.
  • Troubleshoot and optimize RAG challenges such as retrieval relevance, latency, hallucinations, and context limitations.
  • Demonstrate strong hands-on programming skills and experience working with large production codebases.
  • Collaborate with engineering and product teams to translate business requirements into scalable GenAI solutions.

Preferred Background:

  • 5+ years of professional industry experience with clear career progression.
  • Strong U.S.-based professional experience across multiple organizations is preferred.
  • Startup experience is a plus, particularly candidates who have handled multiple technical responsibilities.
  • Master's degree or higher preferred.
  • Strong hands-on experience with Python, LLMs, RAG, Agentic AI, and AI/ML frameworks.
  • Candidates should be able to clearly explain their technical decisions, research, POCs, and production implementations during interviews.
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: 10238807
  • Position Id: 9085822
  • Posted 13 hours ago
Contact the job poster
AK

Arjun Kana

Recruiter @ Sriven Systems Inc.
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