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

Sourced from feeny.ai

Striveworks builds an AI operations platform (Chariot) that provides assurance and monitoring for deployed models in mission-critical government environments. As a Senior Machine Learning Engineer on the Agentic Systems team, you will design, build, and evaluate LLM-powered agents and agentic workflows, integrating them with external tools, APIs, and enterprise data sources. You will work directly with customers and cross-functional teams to deploy reliable AI systems and shape the platform's capabilities. The role requires an active Secret US security clearance and US citizenship.

• Design, build, evaluate, and optimize LLM-powered agents and agentic workflows
• Orchestrate complex data and agentic pipelines across models, tools, and workflows
• Integrate AI systems with external tools, APIs, MCP servers, and enterprise data sources
• Develop evaluation approaches and frameworks to measure agent performance, reliability, and safety
• Collaborate with customers, data scientists, software engineers, and DevOps engineers on mission-critical deployments
• Contribute insights that inform platform improvements for Chariot

• BS in computer science, machine learning, or related discipline with 6+ years relevant experience
• Experience delivering data-centric systems (data engineering, ETL pipelines, machine learning, production analytics)
• 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 frameworks for agent performance, reliability, and safety
• Familiarity with RAG, tool use, planning, and multi-agent architectures
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and/or scikit-learn
• Strong software engineering fundamentals and proficiency in a systems language (Go, Rust, C++, Java, or Scala)
• Proficiency with Agile, version control, issue tracking, CI/CD, and debugging
• Active Secret (or above) US security clearance and US citizenship

• Advanced degree in data science, machine learning, computer science, or related discipline
• Knowledge of client-server architectures and design patterns (asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience deploying software in containerized or cloud environments (Docker, Kubernetes, infrastructure as code)
• Experience with unstructured data types (imagery, full-motion video, text, acoustic, sonar, RF, telemetry)
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments