- We are looking for an experienced AI Engineer to build an enterprise AI control plane and model gateway. The resource will work on centralized model access, security, governance, observability, evaluation, and cost controls.

Key Responsibilities

- Design and build an enterprise AI control plane and model gateway. Implement centralized access to AI/LLM models. Develop identity and access-control mechanisms. Implement AI guardrails, evaluation, tracing, and observability. Build enterprise AI integrations and APIs. Implement model routing and controlled model access. Support AI governance and cost-control mechanisms. Ensure applications access models through the governed gateway instead of directly. Work with cross-functional teams on enterprise AI architecture. Required
- Qualifications
- Strong Azure architecture and development experience.



Hands-on experience with LLM/Generative AI. Experience with API gateways and enterprise APIs. Strong understanding of security and access control. Experience with AI orchestration. Experience with observability and monitoring. Strong enterprise integration experience. Solid Python and/or .NET development skills.
- Good to Have
- Azure API Management LiteLLM MCP Agentic AI Model routing/model switching AI governance

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer - AI Control Plane / Gateway (India)
🏢 Huemot Technology
📍 India