Staff AI/ML Engineer

Tetrix•New York, NY

1d•$230,000 - $280,000

About The Position

Tetrix is a fast-growing startup on a mission to empower institutional investors to confidently invest in alternative markets. Our AI-native product transforms messy, unstructured private market data into real-time insights, combining automated document retrieval, AI-powered data extraction, and on-demand portfolio analytics. We are growing quickly to becoming a category-defining product, and are working with some of the world's leading capital allocators. This is a unique opportunity to join a talented and driven team that wants to build next-generation infrastructure in financial markets, and is backed by stellar investors.

Requirements

Proactive and hands-on approach, taking initiative and figuring things out.
Ability to learn and adapt quickly, approaching problems with creativity and energy, being resourceful, adaptable and excited by tough challenges.
Customer-oriented focus, keeping customers front of mind and focusing on delivering accurate, auditable insights.
Collaborative attitude, valuing transparency, good communication, and teamwork.
10+ years of engineering experience with a recent focus on building production-grade AI systems, particularly around LLMs, agents, evals, or data extraction/normalization pipelines.
Strong Python skills.
Experience shipping reliable ML features to real users, especially in data-heavy or fintech environments.

Nice To Haves

Experience contributing to open source.

Responsibilities

Build and own core AI/ML systems — designing and improving agentic AI workflows for automated document retrieval from dozens of private portals, our proprietary extraction and normalization engine that processes complex PDFs/Excels/reports, intelligent validation with full audit trails, and pipelines that turn unstructured private market data into accurate, structured, real-time insights using various techniques, including feedback loops or data gathering agents.
Brainstorm and shape AI strategy, model choices, evaluation frameworks, and product direction.
Work with clients, including pitching customers, designing features, and soliciting feedback.
Champion best practices and guide others, helping to set and maintain standards for a secure, robust, and scalable B2B SaaS platform, and mentor future team members.