What are the responsibilities and job description for the Agentic AI API Developer (Agentic Commerce & 3rd‑Party Integrations) position at Jobs via Dice?
Role Summary
We are seeking an Agentic AI API Developer to build and integrate enterprise-grade APIs and orchestration servicesthat 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)
Must Have
We are seeking an Agentic AI API Developer to build and integrate enterprise-grade APIs and orchestration servicesthat 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.
- 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).
- 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.
- 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).
- 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.
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.
- 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).