Lead AI Developer

They're looking for a senior AI engineer who can own architecture, hands on development, and technical leadership as they embed advanced agentic capabilities, secure tool ecosystems, and reliable LLM integrations across Microsoft-based stack.

What You'll Do

• Architect end to end AI capabilities within an on prem .NET environment.
• Build a robust agent runtime that handles tool execution, task state, routing, retries, and safe boundaries.
• Integrate with hosted LLM providers using modern tool/function-calling patterns and quality guardrails.
• Develop and maintain secure MCP-style tool servers for SQL, internal APIs, and file/report systems.
• Implement human in the loop controls, auditability, secrets management, and least privilege access patterns.
• Drive observability across logs, metrics, tracing, and dashboards.
• Establish testing strategies spanning unit, integration, failure simulation, and contract testing.
• Provide architectural direction, mentorship, reviews, documentation, and golden-path patterns for future AI dev work.
• Support deployments, troubleshooting, and alignment of AI capabilities with product priorities.

• 7+ years building distributed, production systems (Ideally, in .NET C#, ASP.NET, services).
• 2+ year with agentic AI architecture/integration experience in business environment (not personal projects).
• Strong Microsoft SQL Server fundamentals (schema design, stored procedures, safe query practices).
• Experience integrating with LLM APIs and building production-grade agent/tool ecosystems.
• Skill in designing API/tool contracts (schemas, versioning, error handling, limits).
• Solid grounding in security: authZ/authN, least privilege, secrets, data minimization.
• Ability to lead architecture discussions and produce clear, actionable designs.
• Comfort working in Windows/on prem enterprise environments.