Artisan AI

Artisan AI

Staff AI Engineer - Agent Architecture & Behavior

San Francisco · Staff+ · Full-time

H1B sponsorship available$250k-$325kDetected 40 days ago
TypeScriptPythonDistributed SystemsLLMsAgentic AISalesOutbound SalesCommunication

Stay score

odds of building a lasting career here

56Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • Artisan · Full-time · In person in San Francisco Base salary: $250,000-$325,000 USD annually.
  • We're keeping the product details private ahead of launch, but we can tell you this: the technical problems are substantial, the scope for invention is real, and this hire will shape the core technology.
  • You'll work across agent behavior, complex multi-agent systems, tool use, context, and evaluation, taking promising ideas through to dependable production software.

Responsibilities

  • Artisan builds AI employees that take on real work.
  • We're looking for a hands-on technical lead to design and build the underlying AI architecture.
  • Agent architecture and behavior. Design and implement agent execution loops, planning strategies, tool interfaces, and verification. Turn ambiguous technical requirements into clear system boundaries and working code.
  • Multi-agent systems. Build delegation, coordination, context sharing, and result synthesis. Handle concurrent work, conflicting updates, cancellation, and stale results. Establish when a multi-agent approach improves on a simpler baseline.
  • Reliable execution. Make complex, stateful workflows resilient to interruptions and partial failures. Build checkpoints, recovery strategies, and appropriate human intervention into the architecture.
  • Context, memory, and reusable methods. Improve retrieval, context construction, persistent state, and skill representation. Investigate how systems can use feedback and prior experience to perform better without introducing regressions.
  • Design and implement agent execution loops, planning strategies, tool interfaces, and verification.
  • Build delegation, coordination, context sharing, and result synthesis.
  • Build checkpoints, recovery strategies, and appropriate human intervention into the architecture.
  • Investigate how systems can use feedback and prior experience to perform better without introducing regressions.

Requirements

  • You have personally built and shipped a substantial agentic system.
  • You have deep practical experience with LLM tool use, planning, context engineering, and evaluations.
  • You have implemented multi-agent coordination or substantial parallel agent/tool execution and can explain its failure modes.
  • You have hands-on experience with browser or computer automation in an agentic system, including observing state, verifying effects, and recovering when an interface or execution path fails.
  • You are an excellent software engineer in Python, TypeScript, or a comparable language.
  • You are comfortable with asynchronous services, state machines, persistence, concurrency, retries, and cancellation.
  • You know which decisions belong to a model and which guarantees must be enforced in code.
  • You can reason carefully about permissions, untrusted inputs, uncertain external outcomes, and human approvals.
  • You can take technical ownership of an unclear problem, work effectively with other engineers, and ship with urgency and care.
  • There is no required degree, publication record, previous employer, or agent framework.

Compensation

  • $250,000-$325,000 USD annually.

Benefits

  • The base salary range is $250,000-$325,000 USD annually, plus equity.

Company info

  • WHAT WE'RE LOOKING FOR - You have personally built and shipped a substantial agentic system.
  • Our broader mission is to build AI employees that can take responsibility for work across many roles and industries.

Visa & Work Authorization

  • US visa sponsorship available.
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This listing is sourced directly from Artisan AI's careers page and normalized into a canonical job model.