Senior Agentic Platform Engineer

Job Title: Senior Agentic Platform Engineer
Location: Oaks, PA (Hybrid 4 Days Onsite)
Duration: Long-Term Contract (Hybrid 4 days onsite )

Job Description:
We are looking for a Senior Agentic Platform Engineer to build and support an enterprise-grade Agentic AI platform for a financial services client. The role focuses on Python backend engineering, AI agents, platform services, identity and access management, MCP integrations, and scalable AI infrastructure.

Key Responsibilities:

• Design and develop Python-based backend services, SDKs, APIs, and reusable libraries.
• Build secure authentication, authorization, and policy enforcement using OAuth 2.0, JWT, and Microsoft Entra ID.
• Develop and integrate AI agents using LangGraph, OpenAI Agents SDK, or similar frameworks.
• Implement MCP clients/servers, agent memory, retrieval, and tool integrations.
• Integrate AI gateways, model routing, guardrails, and workflow orchestration.
• Build reliable distributed systems with proper monitoring, logging, testing, and observability.
• Deploy and manage applications using Azure, Docker, Kubernetes, Terraform, and CI/CD.

• 9+ years of software engineering experience, including 6+ years in production backend development.
• Strong hands-on Python experience, including asynchronous programming, FastAPI, REST APIs, and pytest.
• Strong knowledge of HTTP, REST, distributed systems, and API security.
• Experience with OAuth 2.0, OIDC, JWT, Entra ID, managed identities, and RBAC.
• Production experience with LLM APIs, agent frameworks, tool calling, embeddings, and MCP.
• Knowledge of AI gateways such as Azure API Management or LiteLLM and policy engines such as OPA.
• Experience with SQL, Cosmos DB, Redis, and vector/search databases such as Azure AI Search.
• Hands-on experience with Azure, Docker, Kubernetes, Terraform, CI/CD, and OpenTelemetry.

• Experience with Azure API Management policies, ServiceNow, and Azure API Center.
• Knowledge of workflow engines such as Temporal, Camunda, or Flowable.
• Experience building internal SDKs and reusable developer platforms.
• Financial services or other regulated-industry experience.
• Familiarity with AI coding tools such as Claude Code, Codex, or GitHub Copilot.