Generative AI Software Development Engineer

Overview

Esris Professional Services division is seeking a Software Development Engineer to support the evolution of geospatial data quality capabilities across the ArcGIS 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.

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

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
• Bachelors degree in computer science mathematics or a related STEM field

Recommended Qualifications

• 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
• Masters degree in computer science mathematics or a related STEM field is a plus

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Required Experience:

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