Backend Engineer - Extensions

About Fundamental

Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.

At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

About the role

In this role, you'll develop, and productize data science capabilities that enhance and expand our product performance on real enterprise use cases - working across a wide range of prediction tasks, data types, and business domains. You'll go deep on hard data science problems, collaborate closely with R&D on product capabilities, and ship production-grade work that has a direct impact on Production use cases.

Key responsibilities

Own the reliability, performance, and scalability of Extensions capabilities end to end

Design and build distributed workflows that are efficient, reproducible, and observable in production

Collaborate closely with Data Scientists on the team to deeply understand requirements and translate them into engineering decisions

Identify and resolve performance bottlenecks, ensuring Extensions capabilities meet the latency and throughput demands of enterprise deployments

Contribute to architectural decisions around how Extensions integrates with the broader NEXUS backend

Write clean, well-tested Python code and hold a high bar for code quality across the team

Contribute to internal engineering documentation and help establish best practices for backend development within the team

Must have

5+ years of backend engineering experience, with a strong focus on Python

Excellent Python skills - you write clean, idiomatic, well-tested code and know the language deeply

Solid experience designing and operating distributed systems at production scale

Strong understanding of concurrency, task execution, and workflow orchestration patterns

Experience building systems that are reproducible, observable, and easy to debug in production

Ability to work closely with non-engineering counterparts and translate complex requirements into reliable implementations

Strong ownership mindset - you drive work end to end and care about outcomes, not just output

Nice to have

Hands-on experience with workflow orchestration systems such as Temporal, Dramatiq, Celery, or equivalent

Familiarity with ML infrastructure or experience working alongside data science teams

Experience with high-throughput data processing pipelines

Exposure to Kubernetes and container-based deployment environments

Background in performance profiling and optimization of Python services

Benefits

Competitive compensation with salary and equity

Comprehensive health coverage for you and your dependents

Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys

Relocation support for employees moving to join the team in one of our office locations

A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action