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Full Stack Engineer at SignalFire

Join SignalFire, a premier venture capital firm that’s redefining the industry through its proprietary Beacon AI platform. As a Full Stack Engineer in a lean 9-person team, you’ll build the very tools used to source and analyze the world’s next breakout startups. Working with a stack of Python, Next.js, and LLM pipelines, you’ll have a direct impact on investment decisions while enjoying a fast feedback loop with a high-judgment user base. If you’re an engineer with 4-8 years of experience hungry for ownership and interested in the intersection of AI and venture capital, this New York-based hybrid role is for you.

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SignalFire

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Location

New York City, United States

Compensation

Not Disclosed

Company

SignalFire

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Role overview

Join a lean, high-impact engineering team building Beacon AI, the core engine behind SignalFire's investment strategy. You will own full-stack features end-to-end, developing sophisticated tools that surface startup signals and investment insights. This is a unique opportunity to build mission-critical internal AI infrastructure used daily by a top-tier venture capital team to find the next generation of breakout companies.

SignalFire is a venture capital firm built as a technology company that focuses on seed and early-stage investments in the technology sector. The firm leverages proprietary AI tools, particularly its Beacon AI platform, to identify promising startups and provide comprehensive portfolio support. SignalFire offers financial investment combined with extensive advisory services including talent acquisition, data science, go-to-market strategy, leadership development, recruiting, PR, and fundraising support. The firm specializes in sectors including healthtech, cybersecurity, enterprise SaaS, fintech, consumer, applied AI/ML, and vertical SaaS. Founded in 2013 and launched its first fund in 2015, SignalFire has scaled to approximately $3 billion in assets under management and maintains an 85 NPS score from portfolio founders.

What you will do

  • Develop and scale full-stack features across a Python/FastAPI backend and a Next.js/React/TypeScript frontend to support the firm’s Beacon AI platform.
  • Build and optimize LLM inference pipelines and RAG systems that process massive datasets to surface actionable insights for the investment team.
  • Collaborate directly with investors as your primary users to prototype, iterate, and ship tools that solve real-world problems in startup sourcing.

Who this is a fit for

  • Possesses 4–8 years of professional full-stack engineering experience, with a proven track record of shipping production-grade applications using Python and React.
  • Demonstrates hands-on experience or deep interest in AI applications, specifically working with LLM APIs, vector databases, or complex data-driven tools.
  • Thrives in a high-ownership environment where you can navigate ambiguity and transform high-level conversations into robust, scalable software solutions.

Why this role is remarkable

  • Build the core edge of a leading VC firm by developing proprietary AI tools that directly influence multi-million dollar investment decisions.
  • Join a small, high-caliber team of nine engineers where you have massive autonomy, a fast feedback loop, and real technical ownership.
  • Work at the intersection of venture capital and AI, using LLMs and data science to solve complex pattern recognition problems.

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Jack
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Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.

If your profile’s a match and SignalFire wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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