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Lead Generative AI Engineer (Sonoma)
Lead Generative AI Engineer (Sonoma)Madison-Davis, LLC • Sonoma, CA, United States
Lead Generative AI Engineer (Sonoma)

Lead Generative AI Engineer (Sonoma)

Madison-Davis, LLC • Sonoma, CA, United States
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Were supporting a major global financial technology organization thats making significant investments in AI innovation. Theyre scaling their engineering teams across North America to drive development of next-generation Generative AI solutions. Multiple openings are available for engineers at varying levels from early-career developers to senior leads and architects across areas like AI platform engineering, chatbot development, and data engineering for AI-driven systems.

Why This Role

This is a chance to be part of a global enterprise thats putting real resources behind AI strategy building tools, platforms, and models that impact client experiences and internal productivity at scale. Youll join a high-performing engineering group thats delivering enterprise-grade AI capabilities across multiple business lines.

What Youll Do

  • Build and enhance production-grade AI and LLM-based systems for enterprise applications.
  • Contribute to model fine-tuning, prompt optimization, and training workflows.
  • Develop APIs, microservices, and SDKs for internal and client-facing AI products.
  • Collaborate with engineering and data teams to operationalize AI solutions and support MLOps / LLMOps processes.
  • Partner cross-functionally to design and deliver reliable, scalable AI integrations.

What You Bring

  • Bachelors or Masters degree in Computer Science, Engineering, or related field (or equivalent practical experience).
  • 4+ years of hands-on Python development experience.
  • Strong understanding of Generative AI, LLMs, and related model architectures.
  • Experience working with NLP, model training, and fine-tuning workflows.
  • Solid grasp of Linux environments and modern DevOps practices.

    • Nice to Have (Highlight These on Your Resume)

  • Hands-on experience with frameworks like Flask, Django, or FastAPI.
  • Familiarity with Python libraries such as numpy, pandas, scikit-learn, matplotlib, or opencv.
  • Experience deploying AI solutions using cloud services like Azure OpenAI, AWS Bedrock, AWS Sagemaker, or Google Vertex AI.
  • Background in AI / ML lifecycle management MLflow, Databricks, or Dataiku.
  • Understanding of MLOps or LLMOps principles.
  • Exposure to TensorFlow or PyTorch.
  • Experience integrating AI models into enterprise or regulated environments.
  • Familiarity with containerized cloud environments (Docker, Kubernetes).
  • Version control experience with GitHub or Bitbucket.
  • Bonus : experience working with conversational AI platforms (e.g., Copilot Studio, Kore.ai, Amelia).
  • Experience collaborating with software development teams to embed AI into core applications.

    • Whats In It for You

  • Join an organization thats putting real investment behind AI and automation initiatives.
  • Work on cutting-edge technology in a large-scale, data-rich environment.
  • Collaborate with top-tier engineers and data scientists driving AI innovation in financial technology.
  • Opportunities for career growth across multiple teams and projects.
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    Generative Ai Engineer • Sonoma, CA, United States

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