or apply directly on Spin Careers's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 33 days Spin Careers's roles stay open a median of 35 days
- Reposted
- No
- Salary listed
- No 0% of Spin Careers's roles list one
- Ghost-job risk at Spin Careers
- high 7 stale, 2 reposted of 18 open
- Hiring momentum
- 37 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Spin Careers's own greenhouse board since 2026-08-03. Full hiring picture for Spin Careers.
About this role
The Staff AI Engineer will lead the design and architecture of AI agents and copilots, ensuring they are deployed and operated effectively in production. This role involves collaborating with various teams to define engineering standards and best practices, as well as mentoring other engineers. The engineer will also be responsible for evaluating system performance and reliability, driving initiatives autonomously, and making critical architectural decisions.
- benefits
- 1/5
- freshness
- 3/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Spin Careers as an employer.
What you need
- Extensive software engineering experience with a proven track record of leading complex, high-impact engineering initiatives
- Evidence of shipping and operating an AI agent, copilot, or agentic system serving real users
- Strong software engineering foundation with the ability to write, review, and own production code
- Systems thinking to reason about agents as distributed systems with failure modes
- Judgment on trade-offs particular to agentic systems
- Ability to drive cross-functional initiatives with autonomy
Nice to have
- Hands-on experience with agent frameworks/orchestrators (e.g., LangGraph, LangChain)
- Experience with LLM provider APIs (Claude, OpenAI, Gemini)
- Experience with vector databases and eval frameworks
- Designed or contributed to evaluation and guardrail systems for LLM-based products
- Experience with financial products, operations, support, growth, loyalty, or digital ecosystems
Worth weighing
- No salary listed
- Focus on production-level AI systems rather than prototypes or proofs of concept
- Requires a strong technical leadership role with significant responsibilities
- Mentoring and setting engineering standards across multiple teams may require substantial collaboration and influence
Summarised from Spin Careers's posting. Read the full original.
Listed by Spin Careers on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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