6 часов назад
Senior Engineer (AI/Fintech)
175 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer (AI/Fintech): Designing and delivering complex product features and platform systems for an AI-native wealth management platform with an accent on full-stack engineering, system design, and reliable AI integration. Focus on leading projects from architecture through production, establishing engineering standards, and building dependable LLM-powered workflows for financial advisors.
Location: Hybrid, NYC office in Manhattan
Salary: $175,000–$230,000 per year, plus equity
Company
is a Series B fintech company building an AI-native platform and operational infrastructure for independent financial advisors and wealth management.
What you will do
- Lead the design and delivery of complex product features and platform systems from scoping and architecture through production and iteration.
- Establish engineering patterns and standards for building, testing, observing, and iterating across product and platform work.
- Apply AI development tools such as Claude Code, Cursor, and Codex to improve individual and team velocity.
- Drive decisions around data models, service boundaries, system tradeoffs, and scalable architecture.
- Mentor engineers, provide substantive feedback, and serve as a technical resource across the team.
- Partner with Product, Design, and financial advisor customers to solve ambiguous workflow problems.
Requirements
- 5+ years of professional engineering experience.
- Daily, advanced use of AI development tools and the ability to make reliable decisions about where AI belongs in a system.
- Experience leading projects end-to-end from ambiguous problem definition to production with measurable business impact.
- Strong full-stack or platform engineering depth, with the ability to work across Rails, React, Next.js, PostgreSQL, and GraphQL.
- Strong system design, technical communication, collaboration, and mentoring skills.
Nice to have
- Production experience building AI-powered features, LLM integrations, agentic workflows, retrieval pipelines, or intelligent automations.
- Experience with LLM evaluation frameworks such as RAGAS, LangSmith, or custom evaluation harnesses.
- Fintech expertise in financial services, wealth management, regulatory compliance, or financial data integrations.
- Experience with vector databases, embedding pipelines, or retrieval-augmented generation at scale.
- Fluency with macOS toolchains, CI/CD, AWS or GCP, and observability platforms such as Datadog or Honeycomb.
Culture & Benefits
- Competitive salary and equity package.
- Unlimited PTO and paid company holidays.
- Medical, dental, and vision plans, plus a company 401(k) and HSA/FSA plans.
- NYC office with lunch and snacks provided.
- Virtual mental health care, health concierge services, and counseling support for personal and professional needs.
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