Atrix
Founding Backend Engineer (AI Focus) - Atrix
12mo ago
USASeniorapisdata pipelinesasync programmingreal-time inferencebackend development
Core backend engineer building scalable AI-native infrastructure and data pipelines for a life sciences platform at Atrix.
Responsibilities
- 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.
- 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.
- 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
Requirements
- 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 have
- 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
Conditions
- 🚀 Mission-Driven Impact Your code will help life sciences teams deliver better treatments—faster. Every system you build supports real-world clinical outcomes.
- 💥 Real AI, Real Stakes This isn’t research tooling. You’ll make AI work for real customers—ensuring reliability, explainability, and speed in high-stakes environments.
- 🧱 Deep Backend Ownership Shape architecture, modular services, and engineering culture from day one.
- 📊 Scale + Complexity You’ll design systems that operate on thousands of records, across multi-client, multi-agent environments—with LLMs at the core.
- 🌱 Early Team, High Growth Be part of a tight-knit, mission-oriented team, and grow into our Backend Lead Engineer as we scale.
- 💵 Compensation : Competitive salary + equity package
- 💪 Health & wellness support – Stipend + medical (vision, dental, health) insurance coverage
- 🌴 Unlimited PTO – Recharge when you need to
- 🧠 High learning velocity – Get exposed to AI, infra, GTM, and real customers daily
Other
- 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