Member of Technical Staff | Engineering & Research

attimet
San Francisco
Workplace: OnsiteFull timeUSD 125,000 - 350,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Initiative","Technical judgment","Learning agility","Curiosity","Reasoning from first principles"]

Build LLM-powered systems and agent harnesses for a real-time research lab, partnering closely with founders. Design the surrounding infrastructure—tools, context, memory, evals, orchestration, observability, and execution environments—to turn frontier models into reliable systems. Own end-to-end projects from identifying opportunities and prototyping to shipping, measuring results, and iterating across the stack.

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FursaFursa
attimet
attimet
1 week ago

Member of Technical Staff | Engineering & Research

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build LLM-powered systems and agent harnesses for a real-time research lab, partnering closely with founders. Design the surrounding infrastructure—tools, context, memory, evals, orchestration, observability, and execution environments—to turn frontier models into reliable systems. Own end-to-end projects from identifying opportunities and prototyping to shipping, measuring results, and iterating across the stack.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Build LLM-powered systems and agent harnesses to help the team research, engineer, and operate faster.
  • •Design and implement supporting infrastructure including tools, context, memory, evals, orchestration, observability, and execution environments.
  • •Find new ways to turn frontier models into reliable systems that do useful work.
  • •Work across the stack as needed, prioritizing impact over strict job boundaries.
  • •Own projects end-to-end: identify opportunities, prototype quickly, ship, measure results, and iterate.

Pay and Benefits

Salary: USD 125,000 - 350,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Built seriously with LLMs, agents, harnesses, or adjacent AI infrastructure.
  • •Can design and deliver reliable systems from frontier models, with strong technical judgment.
  • •Demonstrates unusually high initiative—spotting problems and building solutions end-to-end.
  • •Moves quickly and reasons from first principles, especially when the right architecture isn’t established.
  • •Learns extremely quickly and cares more about practical outcomes than established patterns.
Experience:AI infrastructure
Skills:InitiativeTechnical judgmentLearning agilityCuriosityReasoning from first principles
Tech Stack:PythonLLMs

Eligibility

Nationality:US National

Company Brief

attimet
Designs and develops hardware devices and sensor-based solutions for monitoring environmental and operational conditions. Provides integrated products and services to collect, process, and transmit sensor data for commercial and industrial applications.
Industry: Hardware Devices
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