Lead Engineer - Ai

Payoneer

Gurugram, India
**
6-8 years software engineering experience
2 years technical lead or staff engineer capacity
Expert proficiency in python, typescript, or go
** Payoneer is seeking a Lead Engineer for AI Systems to drive technical direction and foster AI-assisted development practices within their engineering organization. The ideal candidate will have extensive experience in software engineering, AI tools, and a strong leadership background, while contributing hands-on to complex projects. **

Job Summary

  • Payoneer is seeking a Lead Engineer to serve as the technical anchor for their AI-augmented engineering organization.
  • The role requires defining end-to-end technical architecture for AI systems while remaining hands-on with critical code contributions.
  • Candidates must champion responsible AI adoption across squads by establishing standards for AI-assisted development and code quality.

Matching Summary

Match Score: 75

** Payoneer is seeking a Lead Engineer for AI Systems to drive technical direction and foster AI-assisted development practices within their engineering organization. The ideal candidate will have extensive experience in software engineering, AI tools, and a strong leadership background, while contributing hands-on to complex projects. **

Skills & Requirements

Must-have

  • 6-8 years software engineering experience
  • 2 years technical lead or staff engineer capacity
  • Expert proficiency in Python, TypeScript, or Go
  • Hands-on experience with AI coding tools like Cursor IDE
  • Design and consume LLM/SLM inference APIs
  • Experience with RAG architectures and vector stores

Nice-to-have

  • Experience with SLM/LLM training or fine-tuning pipelines
  • Familiarity with agentic frameworks like LangChain or AutoGen
  • Contributions to open-source ML or developer tooling projects
  • Knowledge of OWASP Top 10 and AI-specific security risks
  • Prior experience in high-growth startup environments

Key Requirements

  • Bachelor's or Master's degree in Computer Science
  • Minimum 8-12 months active hands-on experience with AI coding tools
  • Proven track record of shipping production systems at scale

Work Rights

Not specified

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