Full-Stack Engineer

Altis; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Altis is seeking a full-stack AI engineer to enhance its platform engineering team in New York City. In this role, you will deliver end-to-end full-stack features across various platforms and build scalable UI components that aid in data analysis and investment decisions.

The ideal candidate has strong full-stack experience, particularly with React, Next.js, and TypeScript, and a passion for leveraging AI to create innovative solutions in a high-stakes environment.

Qualifications

• Strong full-stack experience with a focus on AI and data-driven applications.
• Experience shipping complex, data-rich platforms in enterprise SaaS or related fields.

Responsibilities

• Own end-to-end full-stack features across frontends, APIs, and backend services.
• Build scalable UI component libraries and design systems.
• Ship AI-native diligence experiences and intelligent summarization tools.
• Leverage AI models to prototype and code-review.
• Partner with analysts and founders for clear user experiences.
• Define architecture standards for reliability.

Skills

Full-stack development

React

Next.js

TypeScript

AI model integration

Job description

Platform Engineering – New York City (On-site)

About the team

Altis is building the shared intelligence infrastructure venture capital has been missing — one that moves fast, sets the bar on quality, and helps top investors rise above the noise. We deliver institutional-grade diligence on Series A+ companies through decision-grade reports centered on the 3–5 Key Debates that matter. Backed by Primary Venture Partners and founded by operators from BCG, McKinsey, and top-tier venture, we combine expert human judgment with frontier AI.

Our small, high-ownership Platform Engineering team owns the full-stack systems and agentic workflows that power how diligence is delivered, consumed, queried, and acted upon at scale. We’re looking for a full-stack AI engineer who ships production-grade intelligence platforms at 5-10× velocity.

In this role, you will:

• Own end-to-end full-stack features across React/Next.js/TypeScript frontends, APIs, backend services, data pipelines, and observability that power report delivery, interactive Key Debates, search, subscriptions, and personalization.

• Build scalable UI component libraries and design systems used daily by researchers, sector leads, and VC customers.

• Ship AI-native diligence experiences: natural-language query interfaces, agentic synthesis tools, RAG-powered evidence finders, dynamic Bull/Bear explorers, and intelligent summarization that surfaces what actually matters for investment decisions.

• Leverage frontier AI models and tools daily to prototype, code-review, generate tests, and iterate at extreme speed — turning ambiguous needs into production code in hours (including heavy daily use of assistants like Claude Code and Cursor).

• Partner with analysts, sector directors, founders, and customers to translate complex market and founder analysis into clear, trustworthy experiences.

• Define architecture standards and tooling so the platform remains reliable and built for power users making million- and billion-dollar decisions.

You might thrive in this role if you:

• Are an AI-native engineer who lives and breathes frontier models and ships production features faster than most teams.

• Have strong full-stack experience (React/Next.js/TypeScript + backend) and have shipped complex, data-rich platforms in enterprise SaaS, finance, research, or intelligence products.

• Love turning dense, high-stakes information into elegant, AI-augmented interfaces that sophisticated users love.

• Excel at rapid iteration in ambiguous, high-ownership environments where accuracy is non-negotiable.

• Share our obsession with quality and building infrastructure that matures an entire asset class.

We are a tight-knit, in-person team in New York City. If you’re excited to build the diligence layer venture capital has always needed — powered by the best of human expertise and frontier AI — we’d love to talk.