Lead – Gen AI QA (Candidates must be local to the Bay Area)

Hybrid in San Francisco, CA, US • Posted 15 hours ago • Updated 15 hours ago
Contract Corp To Corp
Contract W2
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Quality Assurance
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Generative Artificial Intelligence (AI)
  • Artificial Intelligence
  • Collaboration
  • Database
  • Leadership
  • Microsoft Certified Professional
  • Software Development Methodology
  • NoSQL
  • Privacy
  • Python
  • SQL
  • Servers
  • Software Engineering
  • Stakeholder Management
  • Testing
  • Workflow

Summary

Lead – Gen AI QA
Location: San Francisco, CA (Hybrid – 1 Day Onsite Mandatory)
Duration: 12+ Months Contract

Note: Candidates must be local to the Bay Area. Minimum 1 day onsite in San Francisco is required.

Job Summary:-
We are seeking an experienced Lead GenAI QA Engineer with strong expertise in AI/ML-driven quality engineering and Agentic AI frameworks. The ideal candidate will lead the design and implementation of AI-powered testing solutions, leveraging LLMs, RAG, workflow automation, and MLOps practices to enhance software quality across the SDLC.

Required Qualifications:-
10+ years of experience in software engineering or quality engineering.
3+ years of hands-on experience applying AI/ML or Generative AI solutions to develop automated workflows.
Strong understanding of LLM models and Agentic AI concepts, including:
LLM orchestration
Autonomous agents
Retrieval-Augmented Generation (RAG)
Prompt engineering
Vector databases
Experience working with relational SQL and NoSQL databases.
Strong hands-on experience with workflow automation tools such as n8n or Nova.
Experience integrating MCP servers with LLMs.
Hands-on experience with RAG implementations or model fine-tuning.
Ability to troubleshoot workflow-level and model-level issues.
Understanding of LLM hallucination causes and mitigation strategies.
Strong knowledge of end-to-end AI framework architecture.
Experience monitoring GenAI systems, including security and privacy considerations.
Strong Python programming skills (hands-on).
Excellent leadership, collaboration, and stakeholder management skills.

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: PTPXNemIbCaWFC0
  • Position Id: 8934251
  • Posted 15 hours ago
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