Level

Shared Context Lab

Member of Technical Staff

AI in this role

ai-agents
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 88 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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Agents

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. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI Agents. 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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