Agentic AI API Developer
  • P2P SOFTTEK Staffing Services
3 Days Ago
NA
C2C
Cincinnati-OH
11-15 Years
Required Skills: Agentic commerce, Third-party commerce integrations, RESTful APIs, Authentication and authorization for API access, API orchestration, API Composition, MCP server, Agentic workflows, Google's UCP, Universal commerce platform, AI-assisted engineering tools in enterprise environments
Job Description
We are seeking an Agentic AI API Developer to build and integrate enterprise-grade APIs and orchestration services that enable agentic commerce experiences and thirdparty commerce integrations. You will work in a fast-moving pod model (2pizza team) and deliver production-ready integration capabilities that accelerate partner POCs and real-world deployments.
 
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.
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 contracts).
ThirdParty / 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.
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).

Jobseeker

Looking For Job?
Search Jobs

Recruiter

Are You Recruiting?
Search Candidates