AI/Machine Learning Engineer, LLMs & Infra

$325,000 base + bonus + package

NYC Hybrid

Join a pioneering VC firm building its AI future.

This is a rare opportunity to become the first dedicated ML Engineer at a top-tier investment firm: one that sees AI not as an add-on, but as core to its evolution. Backed by decades of success and billions in managed capital, this firm is now doubling down on transformative, AI-driven innovation.

The Mission: Build the foundational infrastructure and intelligent systems that will power everything from investment workflows to internal operations, partnering directly with senior leadership and domain experts across the firm.

This isn’t just a hands-on technical role; it’s a strategic, high-impact position for someone ready to shape the direction of AI in a complex, fast-paced commercial environment.

What You’ll Do

Build ML and intelligent systems that enhance decision-making and optimize internal workflows
Design foundational infrastructure and tooling for scalable AI/ML deployment
Develop search systems using retrieval-augmented generation (RAG) and LLMs
Deploy real-world solutions using large language models and cloud platforms (AWS, Azure, or GCP)
Collaborate with data and investment teams to identify high-value opportunities
Drive AI adoption firm-wide, reducing vendor dependencies and enabling self-service
Evangelize AI internally—building awareness, excitement, and engagement across teams

What You’ll Bring

3–5 years of experience in software engineering with a strong ML focus
Bachelor's in Computer Science (Master’s in AI preferred)
Proficiency with Python, PyTorch, HuggingFace, and cloud ML deployment
Hands-on experience with LLM pipelines, RAG, and NLP or CV model development
Strong product thinking and ability to align tech with commercial goals
Exceptional communication skills—comfortable engaging with both technical and non-technical stakeholders
A proactive, builder mindset—comfortable in greenfield environments

Tech Stack

Python, PyTorch, HuggingFace
Retrieval-augmented generation (RAG)
AWS, Azure, or GCP
NLP, computer vision, LLM pipelines

Why Join?

Be the first ML Engineer at a firm investing heavily in AI transformation
Partner directly with leadership and influence firm-wide strategy
Build from scratch—own architecture, tooling, and systems
Make real-world impact in a data-rich, high-leverage environment
Help define what “AI-enabled investing” looks like at scale

About People In AI

We’re a specialist recruitment partner connecting top AI and engineering talent with impactful roles across frontier technology, product-driven startups, and future-forward enterprises. Our focus is on long-term fit, technical excellence, and meaningful work.

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