Lead Engineer
Payoneer Global Inc - Gurugram, India
Posted Apr 28, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Learning budget
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Schedule
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About this role
Lead Engineer Gurugram, India About Payoneer Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world's underserved businesses to a rising global economy. We're a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence. Role Summary We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function. You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products. Key Responsibilities 1 Technical Vision & Architecture - Define and own the end-to-end technical architecture for AI Systems - spanning product feature surfaces, model inference APIs, and agentic toolchains. - Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads. - Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team. - Evaluate emerging AI infrastructure patterns
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