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At Atrix our journey began with a simple belief:
Breakthrough medicines and technologies change lives and the people making them deserve better tools.
We often celebrate the final moment: a patient receiving a life-saving therapy or a groundbreaking treatment becoming standard of care.
But behind that moment is a complex coordinated effort that begins years earlier.
Pharmaceutical and med device companies shoulder this responsibility every day:
Advancing science from lab to clinic
Navigating regulatory and access barriers
Ensuring safe evidence-based adoption in the real world
Theyre not just bringing products to market; theyre shaping the future of care.
Yet these organizations are often held back by outdated workflows and siloed data unable to fully harness the knowledge that already exists across their teams.
Atrix was built to change that.
We exist to support the mission of those who dedicate their lives to creating and delivering innovations that impact global health.
Youll be a core builder of Atrixs backend infrastructure powering AI-native workflows that ingest unstructured data structure it with AI and deliver insights that matterinstantly and reliably.
Youll work on scalable data pipelines robust APIs and real-time inference systems supporting everything from complex agent workflows to customer-facing dashboards. Whether its building retrieval pipelines optimizing async background workers or designing clean secure APIs your work will be foundational to how our platform works and scales.
Were 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.
Youll 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
Youll work closely with the Engineering Lead and CEO and collaborate across product AI and GTM. As one of our earliest backend engineers youll 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 youre excited about powering AI workflows behind the scenesand building infrastructure thats as elegant as it is reliablewed 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
Mission-Driven Impact
Your code will help life sciences teams deliver better treatmentsfaster. Every system you build supports real-world clinical outcomes.
Real AI Real Stakes
This isnt research tooling. Youll make AI work for real customersensuring reliability explainability and speed in high-stakes environments.
Deep Backend Ownership
Shape architecture modular services and engineering culture from day one.
Scale Complexity
Youll design systems that operate on thousands of records across multi-client multi-agent environmentswith 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
Full-Time