AI Engineer - Agentic Workflows - Clearance

Cognitive Space builds next-generation AI systems that help supercharge satellite operations through its CNTIENT platform. They are seeking an AI Engineer to design and ship production-grade multi-agent LLM systems that coordinate specialized components to complete complex workflows in operational environments.

Responsibilities:

• Design and build LLM-based agents that can plan and execute multi-step workflows (task decomposition, state management, memory, and controlled autonomy)
• Implement and maintain a robust tool interface layer (tool schemas/contracts, structured I/O, validation, retries, idempotency, and safe execution boundaries)
• Integrate agents with internal and external systems: APIs, databases, queues, and operational services, ensuring reliable action-taking and traceability
• Develop evaluation and regression testing for agent behavior (scenario suites, golden traces, automated quality gates) to reduce drift and ensure predictable performance
• Establish observability for agent runs (tracing, failure analysis, latency/cost monitoring, tool-call success rates) and drive continuous improvements
• Containerize and deploy agent services and decision-making capabilities for production and edge environments, as applicable
• Collaborate with cross-functional teams to identify and prioritize agentic automation opportunities tied to key milestones and requirements
• Implement safety and governance controls (permissions, policy checks, audit logs, and appropriate handling of sensitive data) aligned to operational constraints