Job Description
Agentic AI API Developer to build and integrate enterprise-grade APIs and orchestration services that enable agentic commerce experiences and third‑party commerce integrations. You will work in a fast-moving pod model (2‑pizza team) and deliver production-ready integration capabilities that accelerate partner POCs and real-world deployments.
Key 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 + 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 of 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.
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’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).
Top 3 Skills
Agentic AI Engineer
API Management
Integration Development hands on expertise
