Research Engineers, Agents

Distyl
San Francisco
Workplace: HybridFull timeUSD 150,000 - 250,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Communication","Collaboration","Problem-solving"]

Research Engineers design and implement agentic AI systems that operate across complex enterprise workflows, combining planning, tools, retrieval, memory, and execution. You will build robust AI architectures, run real-world experiments, and collaborate with AI Researchers and Engineers to deploy production-grade agents integrated with customer APIs and data platforms. Strong Python skills and a systems-level mindset are essential for turning research ideas into reliable, observable production systems.

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FursaFursa
Distyl
Distyl
2 months ago

Research Engineers, Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Research Engineers design and implement agentic AI systems that operate across complex enterprise workflows, combining planning, tools, retrieval, memory, and execution. You will build robust AI architectures, run real-world experiments, and collaborate with AI Researchers and Engineers to deploy production-grade agents integrated with customer APIs and data platforms. Strong Python skills and a systems-level mindset are essential for turning research ideas into reliable, observable production systems.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design, prototype, and implement agentic AI systems that perform reliably across complex enterprise workflows
  • •Build compound AI architectures that combine planning, tool use, retrieval, memory, evaluation, orchestration, and execution
  • •Investigate how agents reason, coordinate, recover from errors, and interact with external systems under real-world constraints
  • •Develop evaluation frameworks that measure agent behavior, task completion, reliability, robustness, and failure modes
  • •Create tools and abstractions that make agent behavior easier to observe, debug, test, and improve

Pay and Benefits

Salary: USD 150,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityRemote Work

Key Requirements

  • •Experience building agentic AI systems that use models, tools, retrieval, planning, memory, or multi-step execution to complete real tasks
  • •Strong engineering fundamentals with clean, maintainable Python and debugging of complex, stateful systems
  • •Systems-level reasoning about prompts, tools, context, evaluators, state, orchestration, and external APIs
  • •Research-oriented builder who designs experiments to test architectures and behaviors
  • •AI-native working style with daily use of AI tools to write code, debug, and analyze traces
Experience:AIEnterprise software
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:PythonAPIsAIMachine learningRetrievalMemoryOrchestration

Company Brief

Distyl
Builds enterprise-grade AI systems and integration services (Distillery) to help Fortune 500 companies become AI-native, delivering measurable operational impact across healthcare, telecom, manufacturing, and finance.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2022
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