Maximor AI — Senior AI Engineer
Machine Learning EngineerData
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Quick Summary
Key Responsibilities
evals, verification, guardrails, and observability that catch agent mistakes before a human does Ship full-stack when the work calls for it, owning decisions across the LLM pipeline, infrastructure,
Technical Tools
Machine Learning EngineerData
Responsibilities
~1 min read- →Own a finance domain end-to-end, building the agent system that automates it across context, prompts, tools, evals, guardrails, and UX
- →Design and implement durable, replay-safe orchestration for long-running AI workflows across flaky, stateful enterprise systems
- →Build the trust layer for non-deterministic systems: evals, verification, guardrails, and observability that catch agent mistakes before a human does
- →Ship full-stack when the work calls for it, owning decisions across the LLM pipeline, infrastructure, backend, and UX within your pod
- →Do serious context engineering: retrieval, memory, and tool design over large, messy, proprietary financial data
- →Build idempotent, audit-ready write-back systems for ERPs and financial systems with full traceability
Tech stack: Python (primary stack)
Requirements
~1 min read- 2+ years building and shipping production AI agents
- 4+ years backend or infrastructure engineering
- Research background in ML, NLP, or AI agents
- Early-stage startup experience (pre-seed to Series B)
- NYC in-person, startup hours, 6 days a week, 9am to 7pm or 8pm
- Strong agentic systems track record
- Research background in ML, NLP, or agents
- Graduated post-2021 with direct agentic-era experience
- Fintech, ERP, or accounting software background
- Frontend-heavy background with little backend depth
- Generic AI resume without architectural depth
- Multiple short tenures
What We Offer
~1 min read✓Own a finance domain end-to-end with no PM gating your specs and no committee gating your ideas
✓Work on hard, novel problems: trustworthy agents for finance and audit, context engineering over messy financial data, durable orchestration across flaky enterprise systems
✓Meals and stocked NYC office, 401(k) with employer match, and full medical, dental, and vision for employees and dependents
- Location — New York City, NY
- Work policy — On-site, NYC office · 6 days/week, 9am–7/8pm
- Compensation — $170,000–$220,000 + equity
- Visa sponsorship — None Available
- Employment type — Full-time
Location & Eligibility
Where is the job
New York, United States
On-site at the office
Who can apply
US
About this job
- Who can apply
- United States
- Posted
- 87 days ago
Listing Details
- First seen
- July 20, 2026
- Last seen
- September 2, 2026
Posting Health
- Days active
- 86
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- October 15, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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