Agentic Capability AI and Data Science Engineer

Experteer Overview As an Agentic Capability Engineer, you design, build, and maintain the agentic infrastructure powering AI-driven delivery at scale. You’ll contribute to AI agent systems, prompt/context engineering, and MCP server development within a platform-focused team. You will implement DevSecOps for AI workflows and deliver reusable tools and frameworks for enterprise teams. This is a chance to shape scalable, secure AI delivery capabilities for government and public sector clients. You will work cross-functionally to improve reliability, performance, and maintainability while guiding others. Compensation / Benefits * Design and implement agent system architecture and DevSecOps practices for AI workflows * Build and maintain AI agents, agent systems, and reusable skills/workflows * Develop prompt and context engineering patterns for consistent outputs * Stand up MCP servers, CLI tools, and agent testing frameworks * Deliver platform configuration and integrations (CI/CD pipelines, repositories, environments, guardrails) * Standardize orchestration components for enterprise reuse (templates, harnesses, observability) * Improve reliability, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on agentic infrastructure use Tasks * Bachelor in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform/infrastructure impact * 5+ years building/deploying AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years experience with prompt engineering and context optimization * 2+ years designing reusable tools/frameworks or developer productivity infra * Ability to travel 50% * Authorized to work in the United States without sponsorship * Ability to obtain required clearance Key requirements *

sector repositories, environments, guardrails) * Standardize orchestration components for enterprise reuse (templates, harnesses, observability) * Improve reliability, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on agentic infrastructure use Tasks * Bachelor in Computer Science, Data Science or Engineering * 7+ years of software engineering with platform/infrastructure impact * 5+ years building/deploying AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) * 2+ years experience with prompt engineering and context optimization * 2+ years designing reusable tools/frameworks or developer productivity infra * Ability to travel 50% * Authorized to work in the United States without sponsorship * Ability to obtain required clearance Key requirements *