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59 минут назад

Senior Engineer (AI)

175 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Engineer (AI): Designing and delivering complex product and platform systems for an AI-native wealth management platform with an accent on infrastructure, architecture, and reliable AI integration. Focus on leading projects from scoping through production, establishing testing and observability standards, and making decisions about system boundaries, AI reliability, latency, cost, and failure modes.

Location: Hybrid, NYC office in Manhattan, United States

Salary: $175,000–$230,000 per year, plus equity

Company

hirify.global is a Series B registered investment advisor building an AI-native technology platform and client portal for independent financial advisors.

What you will do

  • Lead medium-to-large product and platform projects from scoping through production, managing dependencies and communicating progress.
  • Establish engineering patterns and standards for building, testing, observing, and iterating on systems.
  • Make and document architectural decisions covering data models, service boundaries, system tradeoffs, and failure modes.
  • Apply AI tooling such as Claude Code, Codex, and Cursor while helping the team use AI effectively.
  • Partner with Product and Design to shape scope and reduce execution risk on ambiguous problems.
  • Mentor engineers and work directly with financial advisors to understand their workflows.

Requirements

  • Senior-level experience leading projects end-to-end with measurable business impact.
  • Hands-on experience incorporating AI into shipped products or systems, including understanding prompt reliability, latency, cost, and failure modes.
  • Strong infrastructure and platform engineering depth across CI/CD, IaaS such as AWS or GCP, and observability platforms.
  • Strong system design skills involving data models, service boundaries, scalability, and architectural tradeoffs.
  • Clear technical communication, effective feedback skills, and experience collaborating across functions in a startup environment.

Nice to have

  • Experience with Kubernetes and Terraform.
  • Fintech, wealth management, financial services, regulatory compliance, or financial data integration experience.
  • Experience with LLM evaluation frameworks such as RAGAs, LangSmith, or custom evaluation harnesses.
  • Experience with vector databases, embedding pipelines, or production-scale retrieval-augmented generation.

Culture & Benefits

  • Competitive salary and equity package.
  • Unlimited paid time off and paid company holidays.
  • Medical, dental, vision, 401(k), commuter, HSA, and FSA plans.
  • NYC office with lunch and snacks provided.
  • Virtual mental health care, health concierge services, and employee assistance counseling.

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