Software Engineer, Agentic AI Systems

Rescale

United States

Remote

Who this role is best for

Aimed at mid-to-senior-level Software Engineers with AI systems experience who can design and deliver platform components, working remotely in a collaborative, mission-driven team focused on data intelligence and agentic AI.

Best fit for

Candidates with 3–5 years of experience in distributed systems and cloud infrastructure who can own platform components and make architectural decisions.
— “3–5 years of experience building and operating backend services and distributed systems in AWS, Azure, or GCP.”
Individuals who have implemented and evaluated agentic AI and RAG systems, with a track record of using results to improve system quality.
— “Production experience with agentic AI, retrieval-augmented generation (RAG), and evals.”
Professionals comfortable with multiple backend languages and able to work across APIs, cloud services, and data systems to complete the customer experience.
— “Work across backend services (Python, Java, Go), cloud infrastructure (AWS, Azure, GCP, containers/Kubernetes), and occasional UI changes (React and TypeScript).”

Things to consider

The role requires a strong ability to interpret ambiguous goals and collaborate with Product teams to define clear technical plans.
— “The ability to turn an ambiguous goal into a plan with Product, make sound architectural decisions for your area”
Candidates must be prepared to operate and maintain systems in production, not just build them.
— “Build and operate LLM-backed APIs, agents, retrieval systems, and integrations with internal and external systems.”

How to stand out

Showcase your ability to design and deliver platform components with measurable performance and reliability outcomes.
— “Own the technical design and delivery of a meaningful part of the platform.”
Demonstrate your experience with data-intensive systems and cloud storage integration in your resume and interviews.
— “Experience with data-intensive systems such as object storage, relational databases, caches, and queues or streams.”
Emphasize your ability to use AI coding agents effectively and validate their output in development workflows.
— “Effective use of AI coding agents in your development work, including the judgment to verify their output.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

LLM-backed APIs
high-throughput data paths

Typical background

backend servicesAI systems

Skills & requirements

Required

Backend ServicesDistributed SystemsAI Systems

Preferred

Agentic AIRetrieval-augmented Generation

Stack & domain

Backend ServicesDistributed SystemsLlm-backed ApisAgentsRetrieval SystemsEvalsIngestion PipelinesCloud InfrastructurePythonJavaGoAWSAzureGCPContainersKubernetesReactTypeScriptProduct FocusTechnical DesignDeliveryCustomer ExperienceTeam CollaborationDecision-makingArchitectural DecisionsAIEngineeringScientific DiscoveryHPCAgentic AIData Management

About the role

Original posting from Rescale via Ashby

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 https://rescale.com/company/legal/applicant-privacy-notice/ here.

Source: Rescale careers (Ashby)