vouch-inc~5h ago
New
New
AI Engineer
Machine Learning EngineerData
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Quick Summary
Key Responsibilities
use the tools hard, and build the system that makes an AI coworker trustworthy. Review with teeth.
Technical Tools
Machine Learning EngineerData
Nice to Have
~1 min readResponsibilities
~1 min read- Frontier models are instruments you play daily — in how you build (coding agents, multi-model workflows, letting an agent draft while you direct) and in what you build (planners, classifiers, tool-calling systems).
- You come at problems with approaches nobody asked for, and you are willing to be wrong out loud in service of moving the work.
- "The model can probably do this" is a hypothesis you test with an eval, not a hope you ship on vibes.
- You prototype fast, generalize what survives contact with reality, and delete what doesn't.
- You ship in small, traceable increments, week after week; teammates can find the ticket from your branch name and the reasoning in your design doc.
- You write your thinking down — design docs before lynchpin systems, and review comments that catch what tests miss: the uncalibrated confidence score someone will read as a guarantee, the trust boundary conflated with a durability guarantee.
- Production is yours. You fix the OOM at the right layer and treat a correctness rework as finishing the job, not a "fast follow".
- You simplify your own work: deleting your days-old code because a simpler approach developed is a win, not a loss.
- Production service fundamentals: API design, data contracts, authorization boundaries, observability.
- Hands-on experience with LLM agent systems — tool-calling patterns, MCP, the Anthropic SDK, or equivalents — running in front of real users.
- Fluency in a strictly-typed codebase.
- You put safety properties in code, not in prompts — and you can say why.
- Clear written communication about tradeoffs; here, decisions live in documents and threads.
- Prior experience in and passion for early-stage startups and/or high-growth environments.
What We Offer
~2 min read✓💰 Competitive compensation and equity packages
✓⚕️ Health, dental, and vision insurance
✓🍼 Parental leave
✓🌴 Flexible vacation time
✓🪷 Wellness allowance
✓🛜 Technology allowance
✓📚 Company-sponsored personal and professional development
✓🏫 L&D: Partnerships with Ethena and monthly Lunch & Learns
✓🧘 Wellbeing: access to many wellbeing perks, including Peloton, Fetch, OneMedical, Headspace care+, etc.
✓🤗 Caregiver Support: company seed into the dependent care FSA and company sponsored Care.com membership.
✓📊 Regular performance reviews: Vouch conducts regular performance discussions with all team members, offering goal setting and check-ins, development discussions, and promotion opportunities.
(Please note these steps may vary slightly depending on the role)
- 30-minute phone call with our recruiting team
- 30-45 minute video interview with the hiring manager
- Case study/technical screen
- Meet the team! 30-45 min 1:1 video discussion with 3-4 team members you’d work closely with in the role
- Executive chat
Location & Eligibility
Where is the job
Chicago, United States
Hybrid — some on-site time required
Who can apply
US
Listing Details
- First seen
- September 26, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- September 27, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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