13 hours ago
Base Salary
$79k - $133k/yr
Responsibilities
- Design, implement, and own production features and services supporting agentic AI behavior.
- Develop backend systems, APIs, and data integrations for scalable agentic workflows.
- Add logging, metrics, and tracing to make production systems observable and debuggable.
- Collaborate with product, design, and platform teams to translate workflows and requirements into technical solutions.
- Participate in code reviews, design discussions, and security reviews.
Requirements
- At least 1 year of professional software engineering experience.
- 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.
- Understanding of agentic AI patterns, including tool use, task decomposition, planning, and feedback loops.
- Experience integrating with APIs, databases, queues, and third-party services.
- Experience with observability and evaluation of AI systems.
- Ability to reason about scalability, latency, reliability, and cost trade-offs.
- Clear written and verbal communication skills and attention to detail.
- Bachelor’s degree in computer science, engineering, or a related field.
- Preferred: experience with agentic AI or orchestration frameworks such as LangChain, LangGraph, or CrewAI.
- Preferred: familiarity with cloud infrastructure, containerization, and CI/CD pipelines.
- Preferred: exposure to ArcGIS Enterprise, ArcGIS Online, or other geospatial technologies.
Benefits
- Medical, dental, vision, basic and supplemental life insurance, 401(k), and profit-sharing programs.
- At least 80 hours of vacation leave and twelve paid holidays per calendar year.
- Opportunities for personal and professional growth.
- The posting is marked onsite.
Tech Stack
Categories
About Esri
Esri develops the ArcGIS geographic information system platform for mapping, spatial analytics, and location intelligence used by governments, utilities, transportation, natural resources, and commercial enterprises. The privately held company, founded in 1969 and headquartered in Redlands, California, monetizes through software licenses and subscriptions, cloud services, data, training, and consulting. Its tools power web and mobile mapping, geospatial APIs, and enterprise systems for planning, operations, and emergency management worldwide.