Full-Stack AI Engineer
Altis Consulting · New York, US
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.
Compensation Range: $120K - $240K
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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