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Shared Context Lab

Member of Technical Staff

Shared Context Lab is hiring a Member of Technical Staff in San Francisco, United States. Level rates it ; you can apply on Shared Context Lab.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions Python, Postgres and React among its tools and skills.
  • Level classes it as a senior role.

AI in this role

Build core AI agent, product, and infrastructure systems, simulation environments, and evaluation frameworks for adaptive personal AI.

PythonPostgresReactNext JsTypeScript
ai-agentsbackenddistributed-systemsllm-agentsevaluations
Member of Technical Staff

Shared Context is building adaptive personal AI that understands the texture of real life: our relationships, routines, responsibilities, and goals. We are building technology that adapts to each and every individual person to help them navigate life with ease, care, and intention.

We’re looking for a senior engineer who is hands-on and cares deeply about craft. You will turn ambitious ideas into enduring products and systems while shaping the technical foundation of the company.

We are funded by leading VCs and are a startup-in-residence at the iconic design and innovation firm, IDEO.

What you’ll do

  • Build core agent, product, and infrastructure systems.

  • Create simulation environments for users, schedules, relationships, and multi-agent interactions.

  • Develop evaluations for long-horizon agent behavior, reliability, and safety.

  • Design systems for context, memory, orchestration, and tool use.

  • Set a high bar for architecture, engineering quality, and product craft.

  • Help shape the technical roadmap, culture, and team.

You might be a fit if you

  • Have designed and shipped complex products or systems with significant ownership.

  • Are deeply experienced in backend and distributed systems; our stack includes Python, Postgres, React, Next.js, and TypeScript.

  • Have built LLM agents, simulations, evaluation frameworks, or related systems.

  • Combine strong architectural judgment with product and design instincts.

  • Bring great product instincts and genuine care for design, UX, and human-centered product development.

  • Thrive in ambiguity, move quickly, and hold high standards without ego.

This is a high-autonomy high-ownership role with meaningful influence over the product and company.

In person in San Francisco or New York.

How we rate this

Member of Technical Staff at Shared Context Lab rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsBackendDistributed SystemsLLM AgentsEvaluationsPythonPostgresReact

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where backend was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where llm agents was part of your work. What did you do?
  5. Tell me about a project where evaluations was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Backend, Distributed Systems, LLM Agents, and Evaluations. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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