Applied Research - Forward-Deployed

Prime Intellect
San Francisco
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Skills: ["Communication","Leadership","Problem-solving","Customer-facing","Presentation"]

The Forward-Deployed Research Engineer embeds with customers to translate their models, workflows, and goals into concrete training runs, evaluation harnesses, and deployment recipes using the Lab stack. You’ll design custom RL environments, architect agent scaffolding, and lead engagements end-to-end while feeding field insights back to product and infrastructure teams to shape the platform for real workloads.

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FursaFursa
Prime Intellect
Prime Intellect
6 months ago

Applied Research - Forward-Deployed

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

The Forward-Deployed Research Engineer embeds with customers to translate their models, workflows, and goals into concrete training runs, evaluation harnesses, and deployment recipes using the Lab stack. You’ll design custom RL environments, architect agent scaffolding, and lead engagements end-to-end while feeding field insights back to product and infrastructure teams to shape the platform for real workloads.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Embed directly with strategic customers to understand their agent architectures, failure modes, and product goals
  • •Design and build custom RL environments, evaluation harnesses, and verifiers that capture what good looks like for each customer's domain
  • •Architect agent scaffolding — tool use, multi-step reasoning, memory, sandbox execution — tailored to customer workflows
  • •Configure and launch training runs on Lab, iterating on reward functions, rollout strategies, and evaluation criteria
  • •Serve as the technical lead for engagements end-to-end: from discovery through deployed, improved models

Pay and Benefits

Perks:Visa SponsorshipRelocationLearning BudgetHealth Insurance401kPensionRemote WorkEquity

Key Requirements

  • •Deep hands-on experience building, evaluating, or deploying LLM-based agents in the past 1–2 years
  • •Strong Python skills and comfort with the modern AI stack (Hugging Face, inference engines, agent frameworks)
  • •Experience in a customer-facing or consulting-adjacent technical role, or as a technical founder
  • •Excellent written and verbal communication
  • •High agency and comfort with ambiguity; you scope the problem, ship a solution, and iterate
Experience:Artificial intelligenceMachine learningEnterprise software
Skills:CommunicationLeadershipProblem-solvingCustomer-facingPresentation
Languages:English
Tech Stack:PythonHugging FaceInference enginesAgent frameworksRLSFTGRPORLHFReward modeling

Company Brief

Prime Intellect
Builds a decentralized, open compute and training platform that enables distributed training and collective ownership of AI models, aggregating global GPU resources and offering tools for agentic RL and model evaluation.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedIn