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 (RAG, agentic orchestration,
vector stores, model serving) and guide adoption decisions.
* Own the technical roadmap for AI tooling, developer productivity, and model
integration layers.

2 Cross-Squad Technical Leadership

* Act as the

📌 Lead Engineer AI (Gurugram)
🏢 Payoneer
📍 Gurugram