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

Needed for contractual, remote, support role,

Strictly 8+ years of overall IT experience,

You can also directly DM on whatsapp (phone hidden),

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.
- Solid 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.

📌 Senior AI Engineer / AI Developer – AI Security & Agent Infrastructure (India)
🏢 Stackzy Technologies
📍 India