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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Generative AI & Assistants, ArcGIS Pro - **Company:** Environmental Systems Research Institute, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $123,136.0 - $202,488.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Geographic Information Systems, Artificial Intelligence, Amazon Web Services, ArcGIS (Software), Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Data Structures, Software Design Patterns, Python (Programming Language), Natural Language Processing, Cloud Services, Tensorflow, Software Engineering, Software Requirements Analysis, Spatial Data Infrastructures, Web Services, Google Cloud, Pytorch, Large Language Models, Generative AI, Git, Information Technology, Production Code, Virtual Agents, Restful APIs, Natural Language Generation - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/d699e87a-c77c-4737-9675-9422d2b9ff1c ## About the Role * 5+ years of demonstrated experience in developing robust code and exceptional problem-solving skills using the C# programming language and the .NET platform * Experience with large language model tools like Semantic Kernel or LangChain * Experience with machine learning frameworks like TensorFlow, PyTorch, or similar * Familiarity with AI and Machine Learning concepts * Strong knowledge of data structures and algorithms * Knowledge of REST APIs and HTTP-based web services * Strong knowledge of GIT * Excellent communication skills, with the ability to explain complex concepts to non-technical team members * Demonstrated ability to self-direct, with an eagerness to learn and grow * Bachelor's degree in computer science, GIS, Mathematics, or related field Recommended Qualifications * Experience with natural language processing and generative models * Good knowledge of Python * Experience in C++ * Experience with cloud services like AWS, Google Cloud, or Azure * Master's degree in computer science, GIS, Mathematics, or related field ## Description ArcGIS Pro is a powerful geographic information system (GIS) software that is used to analyze, visualize, and share spatial data, helping to solve real-world problems. We're on a mission to improve the accessibility of these tools through AI assistant functionality. As a team committed to innovation, you'll have a unique opportunity to bring your expertise in AI and machine learning to the world's leading GIS software. Through curiosity and investigative research, you'll understand future capabilities and be able to fine-tune AI models to ensure quality functionality. You'll design, build, and test AI Copilot experiences to assist our users in ways that have never been achieved before, impacting industries in government, public safety, conservation, imagery and more. In this role, you'll collaborate with our cross-functional global team of software engineers, product engineers, designers, product managers, and release engineers committed to delivering a host of cutting-edge capabilities. Bring your passion for AI and natural language processing and apply today! Responsibilities * Contribute to the design and implementation of an AI Copilot for ArcGIS Pro * Design, develop, and implement AI models, prompts, algorithms and agents in C# or Python, particularly focusing on natural language generation and understanding using LLMs and embedding models * Write scalable, robust, testable, efficient, and easily maintainable code in C#, Python, or C++ * Build software that follows the latest industry-standard design patterns, development methodologies, and deployment models * Collaborate with cross-functional teams to understand user needs and devise possible solutions * Translate software requirements into stable, working, high-performance software * Stay up to date with the latest advancements in AI and machine learning technologies like LLMs, multimodal models, text/embedding models, frameworks like LangChain and Semantic Kernel ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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