Generative AI Software Development Engineer

Esri•Redlands, CA

4h•$97,760 - $163,280

About The Position

Esri’s Professional Services division is seeking a Software Development Engineer to support the evolution of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design and develop the software used by a large community of GIS professionals to power the operations of their organizations. In this position, you will design and develop software used by organizations across diverse markets and industries to ensure quality and consistency in their geospatial data holdings. You will be part of a talented cross-functional team of dynamic and passionate engineers who deliver Generative AI (GenAI) capabilities in data quality that enable our customers to make a difference in communities around the world. As part of the Professional Services division, you will work closely with product teams, domain experts, and technical specialists to create robust, production-ready software that transforms and advances geospatial data quality. If you are passionate about geospatial technologies, AI-driven data quality management, and building scalable, high-performance distributed solutions, this role offers the opportunity to work on cutting-edge technologies that shape how organizations build, validate, and maintain accurate geospatial assets.

Requirements

2+ years of professional software development or data science experience in similar roles with a focus on structured data analysis and Gen AI workflows
Strong proficiency in Python, with experience implementing algorithms that operate on structured datasets
Experience working with data transformation, aggregation, or feature construction as part of analytical or AI-driven workflows
Understanding of object-oriented programming principles and backend software design
Familiarity with machine learning concepts such as pattern recognition, similarity analysis, or predictive modeling
Bachelor’s degree in computer science, mathematics, or a related STEM field

Nice To Haves

Familiarity with similarity/semantic search, embedding-based approaches, or vector-based representations of data
Experience analyzing large geospatial or structured datasets to uncover trends, inconsistencies, or quality issues
Experience with Agile development practices and collaborative software teams
Exposure to GenAI concepts such as prompt design, structured outputs, or contextual grounding
Knowledge of the ArcGIS platform (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) is a plus
Master’s degree in computer science, mathematics, or a related STEM field is a plus

Responsibilities

Develop Python-based machine learning and GenAI components that support geospatial data quality workflows
Assist in building AI-driven features that help users assess, validate, and improve spatial data quality
Contribute to GenAI-enabled pipelines using embeddings, vector search, and retrieval-augmented generation (RAG)
Write well-tested, maintainable, and documented code that meets product quality standards
Build software adhering to industry-standard design patterns, development methodologies, and deployment models, with a focus on AI-driven solutions
Collaborate with cross-functional teams, including data scientists, developers, engineers, and product managers, to drive AI initiatives throughout the development lifecycle
Work within Agile Scrum team environment, contributing to sprint planning, reviews, and continuous improvement efforts

Benefits

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.
A reasonable estimate of the base salary range is $97,760—$163,280 USD

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