Skills: Prompt Engineering, Python, React, Distributed Systems, Software Architecture, Microservices, Data Modeling, Data Analytics, Amazon Web Services (AWS)
About the Company
We are driving the effort to make Healthcare 3.0 a reality through our AI-enabled health platform. We provide high-precision diagnostic tools and at-home blood testing kits, making frequent and affordable healthcare more accessible.
Sai is SiPhox’s consumer‑facing large‑language‑model assistant, capable of analyzing health data, building action plans, providing insights, and consults for users. Sai is capable of ingesting blood biomarker report images and PDFs and extracting health data with high accuracy.
What we are looking for
We’re looking for a lightning-fast builder who thinks from first principles and thrives on turning novel ideas into polished, production-ready software. You have the technical depth to architect distributed AI pipelines, the curiosity to experiment with new models and frameworks, and the discipline to ship code that is both reliable and elegant. If you love owning problems end-to-end, moving at high velocity, and measuring success by the real-world health impact of your work, SiPhox may be the right place for you.
Responsibilities
Build & ship
Architect, implement, and scale new features for Sai, our B2B APIs, and the PDF/blood‑test ingestion pipeline.
Design low‑latency retrieval‑augmented generation (RAG) and agent workflows that turn raw biomarker data into personalized, guideline‑aware coaching.
Own quality
Create deterministic and stochastic suite of tests and simulation environments for quality, safety, bias, and hallucination monitoring.
Automate regression testing across model families, prompt versions, and guard‑rails.
Set up for scale
Stand up and maintain containerized micro‑services on AWS.
Instrument real‑time observability and cost dashboards that let us iterate daily.
Collaborate & lead
Partner with clinical team to translate clinical requirements into shippable code.
Basic Qualifications
BS (or higher) in Computer Science, Engineering, Mathematics, Physics, Cognitive Science or similar.
Fluency in Python plus solid ability with TypeScript/Node.js or React.
Hands‑on experience designing distributed systems on AWS (or GCP/Azure).
Working knowledge of modern LLM tooling (LangChain, LlamaIndex, or custom RAG pipelines) and fundamental data‑science/ML concepts.
Track record of shipping production software fast and communicating findings clearly to technical and non‑technical stakeholders.
Comfortable using AI to streamline everyday processes, including development.
How We Work
First‑principles, speed, and ownership. You’ll have autonomy to deploy new features, rewrite system-level prompts, and measure the results—often in the same week.
In‑person bandwidth. Most of our core product team sits in our Back Bay office so we can whiteboard, push code, and run experiments together at speed.
We care about ability, not age or pedigree. Whether you have 2 years or 10 years of production experience, if you can think from first principles, learn outrageously fast, and ship beautiful, reliable software, we’ll give you space to work.
Benefits
Competitive salary + meaningful stock options in a well‑funded YC company.
Medical, dental, and vision coverage.
Membership to Lifetime Gym
401(k)
Weekly company-wide lunches