We build AI models to enable smaller, faster, and more successful clinical trials.

About Altis Labs Altis

Labs is a computational imaging company focused on improving how oncology trials measure treatment benefit. Our core technology is IPRO, an AI model that generates patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with confidence, and move their most promising therapies through Phase I–III trials faster.

IPRO is trained on the industry’s largest real-world imaging, clinical, and outcomes database, containing over 210 million longitudinal images and more than one million patient-years of linked outcomes. Our multidisciplinary team of AI scientists, clinicians, and business operators is on a mission to get the most effective treatments to patients sooner. We collaborate closely with academic medical centers and co-publish our results at top-tier medical conferences.

Altis

Labs is recruiting a Senior Full-Stack Software Engineer with an entrepreneurial, product-focused mindset. You'll design and implement testable, scalable code as we expand our internal tooling and web-based software product — building critical features from the ground up and delivering efficiently without bureaucracy. Nota, our clinical annotation and data-curation platform, and the ML inference infrastructure that serves our imaging models in production.

Nota React, Express.js, FastAPI, Hasura GraphQL, PostgreSQL, AWS ECS (Fargate), RDS, Terragrunt Clinical DB: DuckDB, AWS S3, Terraform Inference pipeline: Ray Serve on Kubernetes, PostgreSQL, AWS EKS, RDS, S3, Terraform, ArgoCD Design and build scalable applications for data acquisition, management, and visualization using best practices Build and maintain features across the full stack of Nota — from React components through GraphQL schemas to Postgres query performance Design, deploy, and scale ML inference services on Ray Serve and Kubernetes,



including model versioning, autoscaling, and observability Architect and manage the cloud setting supporting data ingestion, querying, and computer vision / ML pipeline development and deployment Own infrastructure as code and GitOps across multiple accounts and environments (Terraform, Terragrunt, ArgoCD) Build CI/CD pipelines that let researchers ship models without filing tickets Handle medical imaging data at scale: 5+ years of software engineering experience with a track record of building and operating applications in production ~ Full-stack depth across front-end, back-end, database design, and software/network security — equally comfortable debugging a React render loop and a Postgres query plan ~ Deep infrastructure-as-code practice with Terraform (Terragrunt a plus) and GitOps deployment patterns ~ Comfort operating in mixed environments: multi-cloud (AWS primary, GCP/Azure secondary) and HPC schedulers like Slurm ~ Fluency in Python and TypeScript/JavaScript;

experience with React, GraphQL, and Docker ~ Excellent written and verbal communication skills in English Experience in the medical technology domain (DICOM, PACS, de-identification, or clinical trial imaging) Familiarity with computer vision and machine learning applications/pipelines Experience with Ray (Ray Serve, Ray Data, or Ray Train) in production Experience serving deep learning models with real latency and throughput requirements Familiarity with regulated environments (HIPAA, GDPR, SOC 2, or FDA-regulated software) Bachelor's degree in engineering, computer science, or a related field We're an AI-native engineering team, and we treat this as a real skill rather than a résumé line. Structuring repositories, context, and documentation so agents produce production-quality output Building custom tooling — MCP servers, skills, subagents, hooks — where it earns its keep If you've been quietly reshaping how your team works because of these tools, we want to talk to you Competitive pay and equity compensation ~ Competitive medical, vision, and dental insurance coverage ~4 weeks of vacation per year #

📌 Full Stack Software Developer Senior with Security Clearance (Toronto)
🏢 Altis Labs
📍 Toronto