AI / Agentic Engineer

Job Title: AI / Agentic Engineer – MCP, .NET/Python & Azure PaaS
Location: Remote – CST work hours
Duration: 6 Months

Role Summary
We are looking for an AI / Agentic Engineer to design and build agentic middleware and workflow orchestration capabilities for enterprise insurance use cases. The engineer will focus on Agentic AI, MCP-based API wrapping, and cloud-native services on Azure PaaS using .NET/Python. The role involves working across orchestration, workflow, and data layers to deliver resilient, production-grade solutions. Project management skills are a strong plus.

Key Responsibilities

• Design and implement agentic workflows and AI agents that support multi-step reasoning, tool use, and human-in-the-loop interactions.
• Build and maintain MCP wrappers around existing APIs, exposing them as MCP-compliant tools/resources for agent frameworks.
• Develop and enhance orchestration components that manage session context, route requests, and sequence calls across multiple workflows.
• Build backend services and integration components using .NET (C#) and/or Python on Azure PaaS (App Services, Logic Apps, Functions, data stores, messaging, security).
• Design and implement RESTful APIs and service endpoints for downstream and upstream consumer applications.
• Contribute to automated testing (unit, integration, and workflow-level) and uphold high standards for quality, reliability, and observability.
• Participate in solution design, technical documentation, and runbooks, supporting DevOps and production operations.
• Collaborate within a cross-functional pod (AI engineers, full-stack developers, DevOps, QA) to deliver features in iterative sprints.
• (Good to have) Provide light project management support—planning, tracking milestones, managing risks/dependencies, and reporting status to stakeholders.

Required Skills & Experience

Agentic AI & AI Engineering

• Strong hands-on experience designing and implementing agentic AI solutions: multi-step workflows, tool-calling, and orchestration.
• Experience with AI agents and orchestration frameworks (e.g., Claude-based agents, Lang Chain, Vertex AI Agent Builder, Auto Gen, google ADK or similar).
• Ability to define agent behavior, tool boundaries, and logging/audit needs for enterprise deployments.

MCP (Model Context Protocol)

• Practical understanding of Model Context Protocol (MCP) concepts for connecting agents to external data sources and APIs.
• Experience building or consuming MCP servers to provide live context to agents from databases, internal tools, and document stores.
• Familiarity with MCP primitives (tools/resources/prompts) and integrating MCP with agentic frameworks.

Backend Engineering – .NET/Python & Azure PaaS

• Strong programming skills in .NET (C#) and/or Python for building production-grade services and APIs.
• Hands-on experience with Azure PaaS services such as App Services, Functions, Azure SQL/Cosmos DB, Storage, Service BEvent Hub, Key Vault, and monitoring.
• Solid experience designing and consuming RESTful APIs, including authentication/authorization (OAuth2.0 / JWT / OIDC).
• Strong grounding in software engineering best practices: Git, CI/CD, automated testing, observability, and secure coding.

General

• Experience working in Agile / Scrum teams on complex, multi-sprint delivery programs.
• Excellent communication and collaboration skills with distributed, cross-functional teams.

Nice-to-Have (Project Management & Domain)

• Experience acting as a tech lead or project lead—backlog grooming, sprint planning, and coordination across engineering, business, and QA.
• Prior experience in insurance or financial services, especially quote/bind, NTU, and policy servicing workflows.
• Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, or similar).
• Familiarity with RAG, LLM integrations, or broader AI/ML platform engineering (Databricks, vector search, etc.).