Senior Software Engineer, Applied AI

AI is core to this product — not an experiment. Join a well-funded, high-growth fintech startup building the next generation of infrastructure and intelligent tooling for financial professionals. Ship AI systems used daily by real customers.

$201K – $246K + Equity NYC Hybrid · 4d/wk 5–8 Years Experience Applied AI Focus No Visa Sponsorship

We’re partnering with a well-funded, high-growth fintech startup building the next generation of infrastructure and intelligent tooling for financial professionals. This company has achieved strong product-market fit and is scaling rapidly — with AI as a fundamental driver of how the product operates.

They are hiring Senior Applied AI Engineers (5–8 years experience) to help build and deploy AI-powered systems used daily by real customers. This is a product-facing role focused on shipping practical, high-impact systems — not research.

“You’ll build systems that financial professionals depend on every day — not prototypes, not demos. Production AI.”

The Work

What You’ll Work On

You’ll build AI directly into a live production platform, helping automate complex workflows and unlock efficiency at scale. Examples of systems you may design and ship:

• AI copilots and intelligent assistants embedded into the product
• Autonomous agents that execute multi-step workflows
• Workflow automation systems powered by LLMs and structured data
• Meeting preparation tools — context aggregation, summaries, and follow-ups
• Task routing and operational intelligence systems
• End-to-end AI features integrated into a high-usage platform

What You’ll Do

• Build and deploy AI-powered product features used by real customers
• Design and implement agent-based systems that automate complex workflows
• Work across the full product lifecycle — from idea to production to iteration
• Collaborate closely with Product, Design, and Engineering teams
• Engage directly with users and iterate based on real feedback
• Operate with high ownership in a fast-moving, ambiguous environment

What They’re Looking For

Must-Have — Non-Negotiable

• 5–8 years of software engineering experience
• Experience shipping AI systems into production — LLMs, agents, or RAG pipelines
• Solid backend fundamentals — APIs, systems design, and scalability
• Experience in a startup or high-growth engineering environment
• Actively using AI tools in daily work — copilots, agents, or LLM workflows

Also Required

• Strong product mindset — ability to define problems, not just execute tickets
• Comfortable moving quickly and navigating ambiguity with high ownership
• Full-stack capability; frontend proficiency (React / Next.js) is a plus

Stack & Tools

The team works primarily with:

Ruby on Rails React Next.js TypeScript GraphQL PostgreSQL AWS

Why This Role

Why This Role Is Different

AI is core to the product

Not an experiment or a side project. AI is a fundamental driver of how this platform operates and how customers derive value.

Real customers, real impact

The systems you build will be used by financial professionals daily. Tight feedback loops with real users, not hypothetical ones.

Strong growth stage with momentum

Strong product-market fit, scaling rapidly. Early enough to have real ownership, mature enough to have real users.

High ownership, builder-driven culture

High-autonomy environment with fast feedback loops, experienced operators, and high-caliber engineers alongside you.

Interview Process

This company moves quickly for strong candidates.

1

30-minute intro — background, experience, and role fit

2

Technical Interview

Applied AI and systems design assessment

3

On-site Loop

Coding, architecture, and cross-functional interviews