Software Engineer, Agentic AI Systems

What you’ll do

• Build and operate LLM-backed APIs, agents, retrieval systems, and integrations with internal and external systems.
• Develop evals for agent and RAG workflows, then use the results to improve quality and reliability.
• Build ingestion pipelines and high-throughput file and data paths between customer environments, cloud object storage, and compute clusters, balancing reliability, performance, and cost.
• Work with Product and Design to turn broad goals into clear problems, practical specs, and small releases.
• Spot worthwhile improvements, bring the right people into the decision, ship frequently, and follow through on the result.
• Work across backend services (Python, Java, Go), cloud infrastructure (AWS, Azure, GCP, containers/Kubernetes), and occasional UI changes (React and TypeScript) to complete the customer experience.

What we’re looking for

• 3-5 years of experience building and operating backend services and distributed systems in AWS, Azure, or GCP.
• Production experience with agentic AI, retrieval-augmented generation (RAG), and evals. You can explain how your evaluations led to changes in a shipped system.
• Strong experience in at least one of Python, Java, or Go, with comfort working across services and APIs.
• Experience with data-intensive systems such as object storage, relational databases, caches, and queues or streams.
• Effective use of AI coding agents in your development work, including the judgment to verify their output. You follow new AI engineering practices and test ideas that could improve how the team builds.
• The ability to turn an ambiguous goal into a plan with Product, make sound architectural decisions for your area, and take responsibility for how the work performs after launch.
• A BS in Computer Science or equivalent experience.

Diversity, equity, inclusion and belonging are fundamental to our success. We strive to be a workplace where we:

• Welcome ALL and ALL are welcome.
• Show up with our whole selves or whichever parts of ourselves we’re comfortable sharing, and be ready to see the same in others.
• Be ready to learn, unlearn, and learn again.
• Respect others and their opinions. We practice empathy in the way we interact with each other and celebrate uniqueness as a team.
• Seek to understand - ask more questions than one makes statements.
• Provide safety from judgment and preserve a collaborative environment.

Additional information

As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check. Here at Rescale, we are committed to being transparent in our policies around candidate privacy. For more details on the information Rescale collects in your application, please view the Rescale Applicant Privacy Policy here.