AI Algorithms Engineer

Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors.

We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025.

• 4+ years of hands-on experience building algorithmic, machine learning, or AI systems that were deployed and used in production .

• B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a similar field.

• A strong algorithmic background is a hard requirement . We are looking for real depth in at least one of the following areas: computer vision, data science, NLP, deep learning, geometry and 3D data, or signal processing . This is the part of the profile we are strict about .

• Genuine interest in LLMs and agentic AI , with a practical understanding of how they work and where they fail . You do not need production experience with agents — a side project, prototype, or serious personal exploration is enough, as long as you can walk us through what you built and why . What matters is that you want this to become a real part of your craft .

• Comfort working in a dynamic, loosely defined environment . Problems here arrive amorphous and priorities shift. You should be able to take a vague problem, break it into something tractable, identify what information is missing, and go get it — by talking to domain experts, digging through data, or running a quick experiment.

• Strong proficiency in Python and solid software engineering practices , including clean, maintainable code and robust systems.

Preferred Qualifications

• Experience with multimodal and vision-language models , especially for document understanding, drawings, or diagrams .

• M.Sc. or Ph.D. in a relevant field.

• Experience with geospatial data, GIS, CAD, or coordinate reference systems .

• Experience automating or extending professional software through its APIs or plugin ecosystem.

• Familiarity with cloud development environments, particularly AWS .

A Note on This Role

This is deliberately a broad role , and we know that very few people cover all of it. If you have real algorithmic depth and are seriously curious about LLMs and agents — even if your experience with them so far is a side project rather than years of production work — we would like to hear from you. Tell us what you are strong at and what you want to grow into .