About the role
Role summary
You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.
As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.
Location
Hybrid - Gurgaon
Full-time
What you'll do
- Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
- Use AI as your primary development tool, achieving in a day what used to take a team a week
- Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
- Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
- Own production readiness monitoring, alerting, and observability go in on day one
- Contribute to shaping team practices, tooling, and engineering standards across the pod
- Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.
Who you are
- 5+ years of software engineering experience, building and operating production systems
- Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating
- Genuine fluency with AI-powered development tools you use them daily to move faster
- Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling
- Strong evaluation instincts you define metrics, build test sets, and validate before shipping
- Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed
- High degree of independence you lead work from problem definition to production without waiting for detailed specs
- Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage