Senior AI Engineer / AI Developer – AI Security & Agent Infrastructure

Senior AI Engineer / AI Developer – AI Security & Agent Infrastructure

Needed for contractual, remote, support role,

Strictly 10+ years of overall IT experience,

7+years specifically on AI

You can also directly DM on whatsapp 9407936653,

Work type: Remote support role

Required availability ( between 6:30 PM to 2:30 AM) IST, for 4-5 hrs daily

Senior AI Engineer / AI Developer – AI Security & Agent Infrastructure

We are looking for a Senior AI Engineer / AI Developer to build and support secure, scalable AI infrastructure and production-ready AI agent systems.

Key Responsibilities

• Design and build secure AI infrastructure for production AI agents.
• Develop Agent Control Plane capabilities to manage, monitor, and secure agent execution.
• Implement embedded controls, security mechanisms, and policy enforcement within AI agents.
• Build reusable backend services, APIs, microservices, and developer tooling.
• Integrate modern AI Agent SDKs and Model Context Protocol (MCP).
• Develop backend services using Python and AWS.
• Build AI observability capabilities including telemetry, monitoring, tracing, and operational visibility.
• Develop developer-facing tools and CLI applications.
• Work closely with AI researchers and backend engineers to move prototypes into production.
• Drive technical initiatives from architecture through deployment and establish reusable engineering patterns.

Required Skills

• Strong professional software engineering experience with a senior-level backend engineering background.
• Excellent Python development skills.
• Strong experience with backend services and microservice architectures.
• Hands-on experience with AWS cloud services.
• Experience designing APIs and distributed systems.
• Hands-on experience building AI applications, AI agents, or agentic workflows.
• Experience with AI Agent SDKs.
• Familiarity with Model Context Protocol (MCP).
• Experience building developer tools, APIs, or CLI applications.
• Strong understanding of software architecture and production engineering.
• Ability to independently take projects from concept through production.

Preferred / Good to Have

• Experience building Agent Control Planes.
• AI security or infrastructure engineering experience.
• Experience implementing AI guardrails, governance, runtime security, or policy enforcement.
• Experience building AI observability platforms.
• Experience working with LLMs in production.
• Experience with Kubernetes and containerized services.
• Experience integrating AI systems with cloud infrastructure.
• Experience building secure AI systems.