Description

Responsibilities:

• API Integration Development (Core) Design and implement scalable, secure RESTful APIs for commerce and agentic workflows (external/partner-ready). Build API orchestration/composition layers that integrate multiple downstream services/APIs into cohesive business flows. Apply an API-first development approach and support API lifecycle practices needed for broad consumption. Implement and validate authentication/authorization patterns appropriate for enterprise plus third-party use. Agentic Enablement & MCP Develop or integrate MCP server interfaces (or equivalent shim layers) that front APIs to enable agentic interactions. Support agentic workflow integration (tool invocation patterns, orchestration flows, and integration contracts). Third Party / Partner Integrations Implement and operationalize 3rd-party integrations (e.g large partner ecosystems) using robust integration patterns (avoid brittle point-to-point). Contribute to rapid partner POCs and transitions from POC to production with quality and repeatability. Quality Engineering for Agentic/AI-Assisted Development Produce production-grade code, including AI-assisted development practices where applicable. Implement testing strategies suitable for AI/agentic variability (i.e., testing beyond purely deterministic outputs). Collaboration & Delivery Work embedded with incubation/acceleration teams initially and then help evolve pod delivery as scope becomes clear. Operate effectively in a pod model with fast onboarding, iterative staffing, and rapid delivery cycles. Required Skills & Experience Must Have Strong backend engineering experience building RESTful APIs and integration services at scale. Proven expertise in authentication and authorization for API access. Hands-on experience with API orchestration/composition patterns across multiple services. Experience delivering production ready software (not just prototypes). MCP Server experience (explicitly expected for this pod context). Working knowledge of agentic workflows and how agents consume tools/APIs. Nice to Have (Highly Relevant) Experience integrating with major partner ecosystems and third party commerce platforms. Familiarity with Google UCP or universal commerce platform concepts and/or analogous partner protocols mentioned in the pod ask. Experience with AI-assisted engineering tools in enterprise environments (e.g Copilot style tooling referenced in discussion).
• Agentic AI API Developer to build and integrate enterprise-grade Ai Agents and APIs with orchestration services that enable agentic commerce experiences and third-party commerce integrations.
• You will work in a fast-moving Agentic AI POD model and deliver production-ready integration capabilities that accelerate real-world deployments.
• Key Responsibilities Agentic AI and API Integration Development (Core)
• Design and implement scalable, secure RESTful APIs for commerce and agentic workflows (external/partner-ready).
• Build API orchestration/composition layers that integrate multiple downstream services/APIs into cohesive business flows.
• Apply an API-first development approach and support API lifecycle practices needed for broad consumption.
• Implement and validate authentication/authorization patterns appropriate for enterprise + third-party use. Agentic Enablement, MCP, Google UCP
• Develop or integrate Google UCP and MCP server interfaces (or equivalent “shim” layers) that front APIs to enable agentic interactions.
• Support agentic workflow integration (tool invocation patterns, orchestration flows, and integration contracts). Third-Party / Partner Integrations
• Implement and operationalize 3rd-party integrations (e.g., large partner ecosystems) using robust integration patterns (avoid brittle point-to-point).
• Contribute to rapid partner POCs and transitions from POC → production with quality and repeatability.
• Quality Engineering for Agentic/AI-Assisted Development
• Produce production-grade code, including AI-assisted development practices where applicable.
• Implement testing strategies suitable for AI/agentic variability (i.e., testing beyond purely deterministic outputs).
• Collaboration & Delivery
• Work embedded with incubation/acceleration teams initially and then help evolve pod delivery as scope becomes clear.
• Operate effectively in a POD model with fast onboarding, iterative staffing, and rapid delivery cycles.

Requirements:

• Agentic AI Engineer
• API Management
• Integration Development hands-on expertise
• 5 Years of experience
• Strong backend engineering experience building RESTful APIs and integration services at scale.
• Proven expertise in authentication and authorization for API access.
• Hands-on experience with API orchestration/composition patterns across multiple services.
• Experience delivering production-ready software (not just prototypes).
• MCP Server experience · Google UCP Server experience
• Working knowledge of agentic workflows and how agents consume tools/APIs. Nice to Have (Highly Relevant)
• Experience integrating with major partner ecosystems and third-party commerce platforms.
• Familiarity with Google’s UCP / universal commerce platform concepts and/or analogous partner protocols mentioned in the pod ask.
• Experience with AI-assisted engineering tools in enterprise environments (e.g., Copilot-style tooling referenced in discussion).
• Team POD size of around 4 from onshore to work Design and Build scalable secure Restful API orchestration/composition layers that integrate multiple downstream services/APIs into cohesive business flows

Key Skills

Education

Any Graduate