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Head of AI

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Gravity Engineering Services Pvt Ltd.
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

The Role

We’re seeking a Head of AI to set and drive the research and technical vision for Sourcerer’s core AI systems. This is a founding-level role: in the early stage you’ll be deeply hands‑on, advancing our models and agent frameworks; as we grow, you’ll shape the research agenda, define standards, and recruit a world‑class AI team.

You’ll push the boundaries of multi-agent systems, retrieval-augmented generation, and real-time negotiation models while translating research into production systems that deliver measurable savings in global trade.

What You’ll Do
  • Define and execute Sourcerer’s AI research strategy (multi-agent planning, negotiation, retrieval-augmented reasoning).
  • Train and deploy large-scale models using Python + PyTorch/Tensor Flow in production.
  • Optimize inference pipelines using ONNX, TensorRT
    , and performance-critical C++ code.
  • Advance foundational work in embeddings, sparse retrieval, and ranking over supply chain data.
  • Design frameworks for benchmarking, evaluation, and reliability in live trade environments.
  • Collaborate with founding engineers to ensure seamless integration of research with production systems.
  • Recruit, mentor, and lead an exceptional AI research team over time.
Who You Are
  • 7+ years of experience in applied ML/AI research
    , with a track record of taking models into production.
  • Deep expertise in LLMs, multi-agent frameworks, or transformer-based architectures
    .
  • Strong research background (publications, patents, or advanced degree in AI/ML preferred).
  • Multiple years of hands‑on experience in Python and PyTorch/Tensor Flow in real-world systems.
  • Familiarity with ONNX, TensorRT, C++ for optimization and deployment.
  • Systems thinker who balances cutting‑edge research with practical production demands.
  • Entrepreneurial — thrives in high‑ownership, fast‑moving environments.
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