Legion Intelligence
Senior Applied ML/AI Engineer
$220K–$265K
USA · Senior · Full-time · Posted Feb 13, 2026
- Experience
- 7+ years in ML/MLOps engineering.
- Education
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP, or a related field.
- Visa sponsorship
- U.S. citizenship or Green Card (permanent U.S. residency) required due to U.S. Government contract requirements.
About the job
Architects and ships production ML systems for search, navigation, retrieval, reasoning, and agentic AI experiences.
What you'll do
- Design and develop ML/NLP systems and agentic reasoning, retrieval, and search capabilities.
- Develop, fine-tune, evaluate, and optimize models for production; build knowledge graph and entity-extraction systems.
- Own AI/ML solutions through deployment and iteration, and support reliable production systems.
What they ask for
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP, or a related field.
- 7+ years of ML/MLOps engineering experience building models and systems for large-scale production environments.
- Proven experience designing, building, evaluating, and optimizing agentic AI systems, including reasoning loops, tool use, context management, and multi-agent or workflow-based systems.
- U.S. citizenship or Green Card; must live permanently in the U.S. and maintain a U.S. home address.
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.
Pay
$220,000 — $265,000 USD (base salary)
Tools
ML, MLOps, NLP, knowledge graphs
AI focus
Builds agentic AI systems for search, navigation, retrieval, reasoning, planning, tool use, and context-aware user experiences; includes model development, fine-tuning, and evaluation.
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