R
Rescale
Software Engineer (Agentic AI Systems)
Skills
Google Cloud PlatformReactTypescriptPythonGolangJavaAIAWSKubernetesAzure
14 days ago
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Important information
Contract type:
Permanent
Salary:
$115,000 – $159,000 / year
Location:
United States
Work mode:
Onsite
Published on:
10 October 2026
What they need
- 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
- 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
Benefits
- Vision and dental insurance
- Pre-tax commuter benefits
- 401k plan
- Stock options
- Work from home opportunities
- Health insurance
- Apple gear
- Catered lunches- Experience with data-intensive systems such as object storage, relational databases, caches, and queues or streams
- 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
- A BS in Computer Science or equivalent experience
- Strong experience in at least one of Python, Java, or Go, with comfort working across services and APIs
- 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
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