Senior Applied ML/AI Engineer

The role

You will design and build ML and NLP systems that power search, navigation and agentic AI experiences. You will own AI/ML solutions end-to-end, from design through deployment and iteration, working with product and engineering teams.

What you will do

• Lead the design and development of ML and NLP systems that power search, navigation, and agentic AI experiences.
• Innovate around core iterative reasoning, retrieval, and search systems with agentic AI.
• Develop, fine-tune, evaluate, and optimize machine learning and language models for production use.
• Design and build systems involving knowledge graphs, semantic representations, and entity detection/extraction.
• Collaborate with product, platform, and engineering teams to own AI/ML solutions end-to-end.
• Make technical decisions weighing algorithmic complexity, model performance, latency, and production cost.
• Build, deliver, and maintain enterprise-grade products that meet high standards for quality, reliability, and speed.
• Support production systems, including debugging issues in distributed systems to ensure uptime and reliability.
• Communicate technical decisions, tradeoffs, and limitations to technical and non-technical stakeholders.
• Stay current with advances in AI, NLP, and machine learning and apply them to improve products and platform.

Required qualifications

• US citizenship or Green Card (permanent US residency) required due to US Government contract requirements.
• Bachelor's or Master's degree in Computer Science, Machine Learning, NLP, or a related field.
• 7+ years of experience in ML/MLOps engineering with a track record of building models and systems for large-scale production.
• Proven experience designing, building, evaluating, and optimizing agentic AI systems, including reasoning loops, tool use/tool calling, context management, and multi-agent or workflow-based systems.
• Strong systems thinking, including runtime complexity, infrastructure costs, and production scalability.
• Strong communication skills and ability to collaborate across cross-functional teams.
• Comfortable supporting production systems and debugging in distributed environments.
• Demonstrated ability to use AI tools to accelerate research and development workflows.
• Growth mindset and low ego: eager to learn, adapt quickly, and change course when needed.
• Strong commitment to collaboration, psychological safety, and technical excellence.

Nice to have

• Startup experience or comfort working in 0→1 product environments.
• Experience integrating ML models and data-driven algorithms into larger system architectures.

Before you apply

• US citizenship or Green Card (permanent US residency) is required.
• You must be domiciled in the U.S. and maintain a permanent home address in the US.
• A step in the application process requires legally authorized identification, verified through third-party provider CLEAR ID.

About the company

Legion is a company built to deliver secure, reliable AI systems, born from a Department of Defense partnership. It works with collaborators such as Palantir, Nvidia, HPE, and Oracle to build intelligent infrastructure.