Senior Applied ML/AI Engineer

Legion Intelligence

10d•$220,000 - $265,000•Remote

About The Position

Legion is hiring a Senior Applied ML/AI Engineer to architect and build the intelligence layer behind its agentic AI platform, focusing on search, navigation, and task-oriented user experiences. The role designs and ships machine-learning systems for intelligent retrieval, reasoning, planning, tool use, and adaptive navigation. It spans NLP, machine learning, knowledge representations, and production system design to deliver scalable, reliable AI experiences. The position is suited to an engineer with deep experience building agentic systems, including reasoning loops, orchestration patterns, tool calling, memory and context management, and model fine-tuning. The engineer will help make search and navigation intelligent, proactive, and context-aware, and will own AI/ML solutions from design through deployment and iteration while supporting production reliability. The role is remote in the USA. Applicants must be U.S. citizens or permanent U.S. residents (Green Card holders) and must live permanently in the United States. Applicants must provide legally authorized identification for eligibility verification through the third-party provider CLEAR ID. Compensation is $220,000–$265,000 USD.

Requirements

U.S. citizenship or Green Card (permanent U.S. residency) is required due to U.S. Government contract requirements.
Must be domiciled in the United States and maintain a permanent U.S. home address.
Must provide legally authorized identification for eligibility verification through CLEAR ID.
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 strong track record of building models and systems for large-scale production environments.
Proven experience designing, building, evaluating, and optimizing agentic AI systems, including reasoning loops, tool use or tool calling, context management, and multi-agent or workflow-based systems.
Strong systems thinking, including understanding of runtime complexity, infrastructure costs, and production scalability.
Strong communication skills and ability to collaborate effectively across cross-functional teams.
Comfort supporting production systems and debugging challenges in distributed environments.
Demonstrated ability to use AI tools to accelerate research and development workflows.
Growth mindset and low ego, with eagerness to learn new tools and technologies, adapt quickly, and change course when needed.
Strong commitment to collaboration, psychological safety, and technical excellence.

Nice To Haves

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

Responsibilities

Lead the design and development of ML and NLP systems that power search, navigation, and agentic AI experiences.
Innovate on iterative reasoning, retrieval, and search systems using 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 advanced entity detection and extraction.
Collaborate with product, platform, and engineering teams to own AI/ML solutions end-to-end, from design through deployment and iteration.
Make technical decisions informed by algorithmic complexity, model performance, latency, and production-cost tradeoffs.
Build, deliver, and maintain enterprise-grade products that meet high standards for quality, reliability, and speed.
Support production systems, including debugging and resolving distributed-system issues to maintain uptime and reliability.
Communicate technical decisions, tradeoffs, and limitations clearly to technical and non-technical stakeholders.
Stay current with advances in AI, NLP, and machine learning and apply them thoughtfully to improve products and the platform.