Breakthrough medicines all start the same way: years of research, mountains of data, and countless decisions made by medical teams within the world's premier biopharma labs.

These decisions then determine which treatments make it to market, how doctors learn about them, and ultimately which patients get access to life-saving care and when.

We're at an inflection point. AI-powered drug discovery, precision medicine, and an explosion of real-world evidence have accelerated what's possible, but the teams translating science into patient access are drowning in data they can't use.

The tools haven't kept up with the stakes.

Atrix builds purpose-built AI for life sciences, designed for the accuracy and rigor biopharma requires.

We're live with top-10 pharmaceutical companies, scaling fast, and focused on one thing: helping the right treatments reach the right patients, sooner

The Role Description

You’ll be a core builder of Atrix’s backend infrastructure, powering AI-native workflows that ingest unstructured data, structure it with AI, and deliver insights that matter—instantly and reliably.

You’ll work on scalable data pipelines, robust APIs, and real-time inference systems, supporting everything from complex agent workflows to customer-facing dashboards. Whether it’s building retrieval pipelines, optimizing async background workers, or designing clean, secure APIs, your work will be foundational to how our platform works and scales.

We're building a modular, agentic platform that connects to customer-approved data sources, transforms unstructured data using LLM-based agents, and delivers decision-ready intelligence to regulated teams.

You’ll tackle rich backend engineering challenges like:

⚙️ System Design & Reliability – Scale to handle massive amounts of records with fast response times

🧠 LLM Ops – Make AI outputs explainable, auditable, and efficient

🛠 Multi-Tenant Infra – Isolate customer data across parallelized pipelines

🚀 AI Performance Tuning – Optimize inference cost, caching, and latency

📡 RAG Pipelines & Contextual Workflows – Connect structured + unstructured data for real-world usage

You’ll work closely with the Engineering Lead and CEO, and collaborate across product, AI, and GTM. As one of our earliest backend engineers, you’ll influence everything from our architecture to hiring bar.

💡 This is an in-person role based in NYC, with flexibility for remote work on some days as needed.

Responsibilities

This role is perfect for someone who thrives on solving deep technical problems, loves optimizing systems for speed and scale, and gets energized by seeing their work used in real-world, high-stakes environments. If you’re excited about powering AI workflows behind the scenes—and building infrastructure that’s as elegant as it is reliable—we’d love to talk.

In this role, you will

Design and own major modules of our backend architecture (APIs, workers, orchestration)

Optimize performance and reliability of data processing and AI inference systems

Build and maintain LLM-powered backend features and multi-step workflows

Collaborate with product and AI teams to launch performant, production-grade AI features

Improve observability, traceability, and modularity of backend systems

Lead customer-focused feature delivery with high attention to security and compliance

Must haves

5+ years backend engineering experience in fast-paced product teams

2+ years of Python experience, including async programming

Expertise with one or more frameworks: FastAPI, Flask, Django

Strong experience with SQL (PostgreSQL) and ORMs (SQLAlchemy or equivalent)

Experience building APIs, background workers, and distributed systems

Understanding of how LLMs, embeddings, or RAG workflows function

Startup experience or demonstrated ownership in complex backend projects

Nice to haves

Familiarity with Celery, LangChain, LlamaIndex, or other LLM orchestration tools

Exposure to RAG or context injection workflows

Experience with AWS, Terraform, Kafka, or PyTorch

Background in healthcare, data security, or regulated environments