Maximor AI — Senior AI Engineer

United States·New Yorksenior

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