Software Engineer, Agentic AI Systems
$115k - $159k • Remote • Remote (United States) • FullTime
Posted 12d ago
Job Location
Remote (United States)
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Rescale is seeking a product-focused Software Engineer, AI Systems to join their infrastructure organization. This role will focus on building and enhancing Rescale's Data Intelligence and Agentic AI platforms. The work involves developing production agents, retrieval systems, evaluation frameworks, and data ingestion pipelines that connect customer environments, cloud storage, and compute clusters. You will collaborate closely with Product Management to define customer problems, refine specifications, and prioritize deliverables, taking ownership of the technical design and execution of key platform components. A significant aspect of the role involves actively using Rescale's product to identify areas for improvement and iterating on launched features.
Responsibilities
- Build and operate LLM-backed APIs, agents, retrieval systems, and integrations.
- Develop and refine evaluations for agent and RAG workflows.
- Construct ingestion pipelines and high-throughput data paths.
- Collaborate with Product and Design to translate broad goals into actionable specifications and releases.
- Identify and implement improvements, involving relevant stakeholders and ensuring follow-through.
- Work across backend services, cloud infrastructure, and UI components to deliver the complete customer experience.
Requirements
- 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.
- Strong experience in Python, Java, or Go, with proficiency across services and APIs.
- Experience with data-intensive systems (object storage, databases, caches, queues/streams).
- Effective use and critical evaluation of AI coding agents in development.
- Ability to translate ambiguous goals into actionable plans and make sound architectural decisions.
- BS in Computer Science or equivalent experience.