Overview
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. Our team develops scalable, high-performance software that brings advanced spatial intelligence and automation to complex operational environments.
As a Software Development Engineer II focused on AI innovation, you will help research, prototype, and integrate AI technologies, including Large Language Models (LLMs), Computer Vision, and Multimodal Systems—into real-world applications. You will work closely with cross-functional engineering and product teams to deliver innovative features that improve workflows, automation, and user experience.
If you are passionate about geospatial technology, AI, and building practical solutions from emerging technologies, this is the place to grow your career.
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
Recommended Qualifications
- 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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Total Rewards
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.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
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