Sr. Software Engineer – Generative AI & Assistants, ArcGIS Pro

• 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

• 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 • 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 #LI-RC2 #LI-Onsite

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 $123,136 — $202,488 USD