AI Engineer - Agentic Workflows - Clearance Security Clearance

Position: AI Engineer - Agentic Workflows - Clearance with Security Clearance
Overview Cognitive Space builds next-generation AI systems that help "supercharge satellite operations" through its CNTIENT platform. We are seeking an engineer who thrives in a dynamic, fast-paced environment and enjoys taking ideas from theory into production deployments. You will play a critical role in designing and shipping production-grade, tool-using, multi-agent LLM systems that can coordinate specialized components (e.g., planning, retrieval, decisioning, and execution) to complete complex, multi-step workflows in operational environments.

This role is for a hands-on builder who can translate ambiguous workflow requirements into reliable multi-agent behavior, robust tool integrations, and measurable outcomes. Experience deploying and optimizing LLM solutions, including open-source model deployments and work in controlled or mission environments, is strongly valued. Location Washington, DC area;
Houston, TX - hybrid in office 2-3 times a week What you will be doing
* 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. What you will need
* US Citizenship
* Active TS/SCI clearance preferred or must be able to obtain and maintain a TS/SCI Clearance.
* Preferred Security+ Certification
* Bachelor's/Master's/Ph.D. in a relevant field:
Computer Science, Engineering, Applied Math, Statistics, etc
* 2-5+ years of professional experience as an AI Engineer, ML Engineer, Software Engineer (Applied AI), Applied Scientist, or similar role
* Strong programming skills in Python; experience with production services, APIs, and containerization (Docker/Kubernetes) is strongly preferred.
* Experience deploying and operating workloads on AWS (e.g., IAM, VPC, EC2, EKS/ECS, Lambda, S3, Cloud Watch), including security, monitoring, and cost-aware design
* Hands-on experience building LLM applications in production, including several of:
* Experience with ML/LLM frameworks and ecosystems (e.g., PyTorch/Tensor Flow familiarity; Lang Chain/Strands/Bedrock familiarity; vector databases/search) consistent with an applied engineering role.
* Strong debugging and analytical skills: ability to diagnose failures across model behavior, tool execution, and system integration.
* Ability to convey complex technical behavior and trade-offs in a clear, practical manner.
* Prefer experience in space/satellite/aerospace domains, mission operations, systems engineering, or adjacent operational environments.
* Prefer experience with offline/online evaluation methodologies and building reusable test harnesses for AI behavior. Benefits One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer:
* Flexible Time-Off policy and company holidays
* Cost-effective health care, dental, and vision with company contributions
* 401k matching plan with company match
* Life insurance
* Short-term and long-term disability Salary $160,000 - $195,000 We value job-related knowledge and skills, education, and experience. That's why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.