Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)

Highlights

• Build reliable agentic AI systems for mission-critical government deployments.
• Shape Chariot platform capabilities through real-world customer deployments.
• Sustain hundreds of deployed models with monitoring and drift management.

What they offer

• Equity grants
• Cash bonuses
• Medical/dental/vision insurance
• Voluntary life, long-term disability and accident insurance
• HSA and FSA plans
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Ideal candidate

A cleared builder with 6+ years delivering real-world AI who takes ownership, leads with trust and candor, and cares about reliable agentic systems for mission impact.

Requirements

• BS degree in computer science, machine learning, or related discipline and 6+ years relevant experience
• Demonstrated experience delivering data-centric systems
• Experience designing, building, evaluating, and optimizing LLM-powered agents and agentic workflows
• Experience integrating AI systems with external tools, APIs, MCP servers, and enterprise data sources
• Experience developing evaluation approaches to measure agent performance, reliability, and safety
• Familiarity with retrieval-augmented generation (RAG), tool use, planning, and multi-agent architectures
• Excellence in Python and knowledge of TensorFlow, PyTorch and/or scikit-learn
• Strong software engineering fundamentals and proficiency in Go, Rust, C++, Java or Scala
• Proficiency with modern software engineering tools and processes including Agile, CI/CD and version control
• Active Secret (or above) US security clearance and US citizenship