Senior Backend Engineer - AI-Focus
New York City
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Pear VC
Weâre seed specialists that partner with founders at the earliest stages to turn great ideas into category-defining companies.At Atrix AI, we believe life sciences teams deserve more than just dataâthey deserve answers.
Medical affairs and commercial teams sit on mountains of messy, unstructured information that could impact patient outcomes, if only they could make sense of it. Atrix is helping the worldâs most innovative companies in pharma and medtech turn AI into a trusted ally for clinical decision-making.
Weâre on a mission to make AI-native workflows that are fast, intuitive, and impactfulâwithout compromising on compliance, privacy, elegance, or trust.
We're a small, focused team working fast, listening to customers, and shipping quickly. If you love building beautiful products, translating real-world complexity into intuitive UX, and want your code to power decisions that improve lives, youâll thrive here.
The Role Description
Youâll be a core builder of Atrixâs backend infrastructure, powering AI-native workflows that ingest unstructured data, structure it with AI, and deliver insights that matterâinstantly and reliably.
Youâll work on scalable data pipelines, robust APIs, and real-time inference systems, supporting everything from complex agent workflows to customer-facing dashboards. Whether itâs 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.
Youâll tackle rich backend engineering challenges like:
âïž System Design & Reliability â Scale to handle massive amounts of records with fast response times
đ§ LLM Ops â Make AI outputs explainable, auditable, and efficient
đ Multi-Tenant Infra â Isolate customer data across parallelized pipelines
đ AI Performance Tuning â Optimize inference cost, caching, and latency
đĄ RAG Pipelines & Contextual Workflows â Connect structured + unstructured data for real-world usage
Youâll work closely with the Engineering Lead and CEO, and collaborate across product, AI, and GTM. As one of our earliest backend engineers, youâll influence everything from our architecture to hiring bar.
đĄ 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 youâre excited about powering AI workflows behind the scenesâand building infrastructure thatâs as elegant as it is reliableâweâd 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
Why Join Atrix as a Backend Engineer?
đ Mission-Driven Impact
Your code will help life sciences teams deliver better treatmentsâfaster. Every system you build supports real-world clinical outcomes.
đ„ Real AI, Real Stakes
This isnât research tooling. Youâll make AI work for real customersâensuring reliability, explainability, and speed in high-stakes environments.
đ§± Deep Backend Ownership
Shape architecture, modular services, and engineering culture from day one.
đ Scale + Complexity
Youâll design systems that operate on thousands of records, across multi-client, multi-agent environmentsâwith LLMs at the core.
đ± Early Team, High Growth
Be part of a tight-knit, mission-oriented team, and grow into our Backend Lead Engineer as we scale.
What We Offer
đ” Compensation: Competitive salary + equity package
đȘ Health & wellness support â Stipend + medical (vision, dental, health) insurance coverage
đŽ Unlimited PTO â Recharge when you need to
đ§ High learning velocity â Get exposed to AI, infra, GTM, and real customers daily
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: APIs Architecture AWS Data pipelines Distributed Systems Django Engineering FastAPI Flask Kafka LangChain LLMOps LLMs Pharma Pipelines PostgreSQL Privacy Python PyTorch RAG Research Security SQL Terraform Unstructured data UX
Perks/benefits: Career development Competitive pay Equity / stock options Health care Home office stipend Startup environment Unlimited paid time off Wellness
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