Payoneer

3 months ago

Lead Engineer AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead AI Systems engineer bridging AI/ML development with product teams. Define end-to-end AI architecture, drive ADRs and RFCs, steward AI tooling adoption, mentor engineers and interns, and own cross-squad technical leadership to ship AI-powered products at scale.

Location: Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•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.

Key Requirements

•6 – 8 years of professional software engineering experience in product-focused environments.
•Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
•Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
•Proven track record of shipping production systems with measurable business impact at scale.
•Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

Experience:6-8 yearsAIMLMachine learningMLOpsAI tooling

Education:Bachelor's

Skills:LeadershipMentoringCommunicationOwnershipProblem-solving

Languages:English

Tech Stack:PythonTypeScriptJavaScriptGoRESTGraphQLGRPCPostgreSQLMySQLMongoDBRedisFAISSPineconeWeaviateAWSGCPAzureSageMakerVertex AIDocker

Company Brief

Payoneer

Provides cross-border payments and financial services platform enabling businesses and professionals to send, receive, and manage international payments, multi-currency accounts, and working capital solutions to support global commerce.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2005

Website LinkedIn

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Payoneer

3 months ago

Lead Engineer AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•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.

Key Requirements

•6 – 8 years of professional software engineering experience in product-focused environments.
•Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
•Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
•Proven track record of shipping production systems with measurable business impact at scale.
•Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

Experience:6-8 yearsAIMLMachine learningMLOpsAI tooling

Education:Bachelor's

Skills:LeadershipMentoringCommunicationOwnershipProblem-solving

Languages:English

Tech Stack:PythonTypeScriptJavaScriptGoRESTGraphQLGRPCPostgreSQLMySQLMongoDBRedisFAISSPineconeWeaviateAWSGCPAzureSageMakerVertex AIDocker

Company Brief

Payoneer

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2005

Website LinkedIn