Job Description

What You Will Do Daily:

  • Architect and oversee the tooling and infrastructure to support AI-driven solutions for code quality and security across diverse language ecosystems.
  • Lead the design and optimization of AI-focused experiments, creating robust systems to evaluate modern techniques, including fine-tuning, RAG, DPO, and RLHF.
  • Write scalable, production-quality code mainly in Python, and sometimes in Java, TypeScript, or Rust, to support AI workflows, dataset processing, and evaluation frameworks.
  • Design and maintain high-throughput benchmarking pipelines to assess LLM performance in generating clean, maintainable code.
  • Process and refine complex datasets, ensuring they’re structured and optimized for training and evaluation.
  • Define the integration strategy between AI systems and static analysis tools, enabling AI-assisted insights for developers.
  • Collaborate with static analysis experts and AI researc...
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