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.
Skills Required
- Strong full-stack experience with React, Next.js, and TypeScript
- Proven experience building backend services and APIs and working with data pipelines
- Experience designing and shipping scalable UI component libraries and design systems
- Experience building AI-native features: natural-language query interfaces, RAG, agentic synthesis, and summarization
- Daily use of frontier AI tools and models (experience with Claude Code, Cursor, or similar assistants)
- Ability to translate complex analysis into trustworthy product experiences and partner with stakeholders
- Willingness to work on-site in New York City (in-person team)
What We Do
Altis is a venture intelligence platform that helps investors make faster, better decisions on Series A, B, and C companies. It conducts deep primary research through interviews with customers, competitors, and industry specialists, then synthesizes that evidence into analysis supporting investment committee decisions. Its work is designed to help investors build conviction, evaluate opportunities, and focus diligence on the questions that most affect outcomes.
