Software Engineer, Agentic AI Systems
Generate a McCoy IQ challenge in 30 seconds.
See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
Key details
Why this role is notable
Rescale is pivoting from pure HPC infrastructure toward AI-native product layers, signaling a bet that agentic systems will become the primary interface for engineering workflows rather than traditional compute APIs.
Job Description
Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. Joining Rescale means becoming part of a diverse, collaborative, and mission-driven team that’s unlocking faster innovation across industries like aerospace, energy, life sciences, and manufacturing. We’re solving complex challenges that traditional HPC can’t—and we’re seeking passionate, curious minds to help build the next wave of breakthroughs.
We’re hiring a product-focused Software Engineer, AI Systems to build Rescale’s Data Intelligence and Agentic AI platforms within our infrastructure organization. The work spans production agents, retrieval, evals, ingestion pipelines, and the data services connecting customer environments, cloud storage, and compute clusters.
Projects often start as broad goals. You’ll partner with Product to identify the customer problem, sharpen the spec, and decide what to ship first. You’ll own the technical design and delivery of a meaningful part of the platform. You’ll use Rescale’s product yourself, find friction in the full workflow, and keep improving what you launch.
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.
Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. 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.
Interested in working for companies like this one?
Answer a McCoy challenge. Companies hiring in engineering see your response and reach out when they want to talk.
About 15 minutes to prepare and 5 minutes to record. Unlimited retakes and a teleprompter help you answer. No AI training, and you can delete your response anytime.
This isn't an application to Rescale.
Audit details(provenance, verification trail, raw fields)
Core fields
rescale:7000359c-888c-4686-a17f-513a75d883a0Provenance
rescaleVerification trail
This posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
LLM enrichment
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.
