AIML Software Engineer, AI for Science
Core
Design, build, and operate scalable cloud infrastructure and services that support AI models and agentic applications for drug discovery and personalized medicine.
Role type
Senior IC software engineer (cloud infrastructure & MLOps)
Builds
Scalable cloud-native infrastructure, model-serving platforms, and CI/CD pipelines for biomedical AI systems.
Domain
Biopharma / AI for Science
Deliverable
infrastructure
Required skills
Python, FastAPI, cloud-native architecture, CI/CD, containerization, SQL database administration, observability, debugging, shell scripting, GCP services (Cloud Run, GKE, Cloud SQL)
Preferred skills
Distributed training pipelines, performance optimization, Kubernetes expertise, Terraform, VPC security controls, biomedical data experience
Technologies
Python, FastAPI, GCP, Kubernetes, Terraform, PyTorch, TensorFlow, JAX, SQL, Cloud Run, GKE, Cloud SQL
Responsibilities
Design and build scalable infrastructure for AI models; own reliability via CI/CD, testing, and monitoring; operate model-serving infrastructure; develop cloud-native architectures; deliver high-performance code; collaborate with ML engineers and domain experts.
Seniority
Senior, hands-on IC
