Software Development Engineer I – Agentic AI, ArcGIS Enterprise

Overview

At Esri, our users come first. With thousands of customers and millions of users worldwide, we want your help building the next generation of ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capability. Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises and the cloud to make maps, geographic information, and analyses available on any device, anywhere, at any time.

As a Software Engineer with focus on Agentic AI development, you will build and operate intelligent, goal driven features within production software systems. In this role, you will apply strong software engineering fundamentals to ship reliable software embedding agentic AI capabilities into APIs, services, and applications that scale, integrate cleanly with existing systems, and meet product and operational requirements.

Responsibilities

• Design, implement and own production features and services that support agentic AI behavior
• Develop backend systems, APIs, and data integrations that support agentic workflows as scale
• Add logging, metrics, and tracing to ensure systems are observable and debuggable in production
• Collaborate with product, design, and platform teams to translate workflows and requirements into technical solutions
• Participate actively in code reviews, design discussions, and security reviews

Requirements

• 1+ years professional software engineering experience, with strong proficiency in Python or a similar backend language
• Experience designing and operating production services or distributed systems
• Hands on experience using LLMs or generative AI APIs in real applications
• Solid understanding of agentic AI patterns, including tool use, task decomposition, planning, and feedback loops
• Experience integrating with REST APIs, databases, queues, and third party services
• Experience with observability and evaluation of AI systems (logging, tracing, offline or online evaluation)
• Ability to reason about scalability, latency, reliability, and cost trade offs
• Clear written and verbal communication skills, with attention to detail
• Bachelor's degree in computer science, engineering, or related field

Recommended Qualifications

• Experience using agentic AI or orchestration frameworks (such as LangChain/LangGraph, CrewAI, and more)
• Familiarity with cloud infrastructure, containerization, and CI/CD pipelines
• Demonstrated ability to learn and apply emerging AI tools and patterns quickly
• Exposure to ArcGIS Enterprise, ArcGIS Online or other geospatial technologies

#LI-TA1

#LI-Onsite