AI Engineer

Summary

Cyvl is a physical AI company building sensors, computer vision, and AI solutions for infrastructure intelligence. The AI Engineer will develop computer vision, 3D perception, and LLM-powered products using LiDAR and imagery, taking models from prototyping through production deployment and monitoring.

Responsibilities

• Build and improve computer vision and 3D perception models that detect, classify, and assess infrastructure (pavement, signs, sidewalks, trees) from LiDAR and imagery
• Build LLM-powered products: agentic workflows, our MCP server, and AI copilots that put Cyvl data to work inside customer tools
• Own models from data and training through evaluation, deployment, and monitoring in production
• Design evaluation sets and metrics that tie model performance to what customers actually need
• Stay close to the state of the art and bring the right new tools into our products and our own workflows

Skills

• 3+ years building and shipping ML or AI systems in production
• Strong Python and a modern deep learning framework (PyTorch preferred)
• Hands-on experience with computer vision, 3D perception, or LLM applications (RAG, tool use, agents, evals)
• Solid software engineering fundamentals: testing, code review, and cloud deployment
• Ability to go from an ambiguous problem to a working prototype quickly, then make it production-grade
• Point cloud or multimodal work (LiDAR and imagery fusion)
• Model Context Protocol (MCP), foundation model APIs, or agent frameworks
• Geospatial or remote sensing background
• MLOps: model serving, GPU infrastructure, experiment tracking
• Advanced degree in CS, ML, robotics, or a related field, or equivalent experience

Qualifications

Must Haves

• 3+ years building and shipping ML or AI systems in production
• Strong Python and a modern deep learning framework (PyTorch preferred)
• Hands-on experience with computer vision, 3D perception, or LLM applications (RAG, tool use, agents, evals)
• Solid software engineering fundamentals: testing, code review, and cloud deployment
• Ability to go from an ambiguous problem to a working prototype quickly, then make it production-grade

Nice to Haves

• Point cloud or multimodal work (LiDAR and imagery fusion)
• Model Context Protocol (MCP), foundation model APIs, or agent frameworks
• Geospatial or remote sensing background
• MLOps: model serving, GPU infrastructure, experiment tracking
• Advanced degree in CS, ML, robotics, or a related field, or equivalent experience

Benefits

• Equity. You'll own a piece of what you're building.
• Health, dental, and vision. Cyvl covers most of the premium for you and your family.
• 401k with a real match, vested day one. Your money is yours from the start.
• Generous PTO & Paid Parental leave. Doing hard work well includes stepping away from it.
• Learning stipend. Spend it on whatever makes you sharper.
• Paid to live close. A monthly bonus for living near our Boston office.
• Team events. Time together in Boston with a team you’ll love working with.
• If you're based in San Francisco, this role is remote, and you'll be with the team in Somerville for the moments that matter like onboarding, kick-offs, and milestones.