Join our team in building the next generation of AI capabilities across our geospatial software products, supporting indoor mapping and reality, roadway and utility GIS, and system observability solutions.
Key Responsibilities
Research and prototype AI-driven features for geospatial software products
Integrate LLMs, computer vision, and AI services into existing applications
Develop tools that automate workflows for indoor mapping and indoor reality creation, roadway and utility GIS, and GIS system observability
Assist in model evaluation, benchmarking, and performance testing
Contribute to spec-driven development and AI-assisted coding workflows
Collaborate with cross-functional teams to deliver AI-powered features
Document experiments, prototypes, and technical approaches
Present findings on work; synthesize and address feedback
Participate in software quality and code review processes
Requirements
2+ years of professional software development experience evaluating, prototyping, and integrating AI technologies and approaches into software solutions
Strong proficiency in Python
Strong understanding and the ability to develop software algorithms
Working knowledge of JavaScript or TypeScript
Experience building or integrating APIs and services
Database knowledge, including SQL and data modeling
Strong analytical and problem-solving skills
Effective communication and teamwork abilities
Bachelor's degree in Computer Science, Software Engineering or a related STEM field
Experience building RAG (Retrieval-Augmented Generation) systems Familiarity with semantic search and vector databases
Experience with computer vision models, such as: SAM (Segment Anything Model) YOLO family of models DINO (Distillation with No Labels)
Experience with Gaussian Splatting
Experience working with LLMs, such as: ChatGPT / OpenAI models Claude Gemini Llama
Experience with image and video feature tracking and extraction
Familiarity with Model Context Protocol (MCP) usage or development
Basic experience with C++
Familiarity with geospatial data formats, GIS concepts, and/or ArcGIS
Experience or exposure to spec-driven development or AI-assisted coding
Master's degree in Computer Science, Software Engineering or a related STEM field
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Benefits & Perks
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.