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.
