Senior Technical Lead

Job Summary

We are seeking a hands-on AI Engineer to design, build, and deliver solutions using .NET and Python, with practical experience in Azure AI Foundry, Model Context Protocol (MCP), and agent-assisted SDLC patterns.

This is an execution-focused role. You will spend most of your time writing code, integrating agents, and shipping AI-enabled features (rather than defining long-term strategy or serving solely as an architect). AI agents accelerate development, while engineering ownership and validation remain with the team.

Key Responsibilities

Agentic SDLC Implementation (Execution-Focused)

• Implement agent-assisted development workflows using Azure AI Foundry Agent Service.

• Consume or build MCP-compliant tools to expose internal services to agents in a standardized way.

• Apply agentic patterns to accelerate delivery while ensuring:

• Pull requests are reviewed by engineers.

• CI/CD pipelines remain unchanged.

• Security and quality gates are not bypassed.

Application and Service Development

• Develop and maintain backend services and APIs using .NET.

• Write Python/C# code for AI integration, automation, and orchestration.

• Use agent assistance for refactoring, test scaffolding, and documentation generation.

• Fix defects, improve code quality, and enhance existing services.

Quality, Security, and Governance

• Ensure all AI-assisted output goes through:

Code review

• Unit and integration testing

• CI/CD pipelines

• Follow established coding standards and SDLC practices.

Add logging and traceability for agent interactions.

Skill Requirements

Core Engineering

• Strong hands-on experience with C#/.NET (APIs, services, microservices).

• Strong hands-on experience with Python.

• Experience working in an enterprise SDLC (Git, pull requests, builds, releases).

• Ability to independently implement features and deliver tasks end to end.

AI, MCP, and Agentic Development

• Practical experience using Azure AI Foundry to build or consume AI agents.

• Experience integrating MCP-based tools or services.

• Experience with agent-assisted development (coding, testing, or automation).

• Understanding that agents assist engineers and do not replace review or ownership.

• Experience with Azure DevOps or GitHub CI/CD.

• Exposure to test automation or legacy code refactoring.

• Familiarity with multi-agent or tool-orchestrated systems.

• Demonstrated project delivery experience beyond proofs of concept (POCs) or demos.

Other Requirements

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