Senior AI/ML Engineer

Tetrix•New York City, NY

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

Strong Python skills.
5+ years building production-grade AI systems, particularly around LLMs, agents, evals, or data extraction/normalization pipelines.
Experience shipping reliable ML features to real users (especially in data-heavy or fintech environments) is highly valued.
Proactive and hands-on approach, taking initiative and figuring things out.
Ability to learn and adapt quickly, approaching problems with creativity and energy.
Resourceful, adaptable, and excited by tough challenges.
Customer-oriented mindset, focusing on delivering accurate, auditable insights.
Collaborative, valuing transparency and good communication.

Nice To Haves

Contributions 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 AI strategy, model choices, evaluation frameworks, and product direction.
Work with clients on pitching, designing features, and soliciting feedback.
Champion best practices and guide others in setting and maintaining standards for security, robustness, and scalability.
Mentor future team members.