Phylo is an applied research lab dedicated to studying agentic intelligence to accelerate discoveries for every biomedical scientist. Backed by a16z.
About the role
We’re looking for an engineer to build and operate the core systems that power Phylo’s agentic AI platform in production. You’ll design and implement the distributed systems, compute environments, and service architecture that allow our AI agents to run reliably at scale — across cloud-native deployments and enterprise environments. We are an AI-native engineering team: we use coding agents heavily, move fast, and hold a very high bar for engineering excellence.
What they're looking for
- 3+ years of industry experience in backend, infrastructure, or distributed systems engineering
- Strong proficiency in at least one programming language (e.g., Python, Go, Rust, or similar)
- Experience designing and operating distributed systems in production
- Deep hands-on experience with containerization and Kubernetes
- Experience with infrastructure-as-code tooling (e.g., Terraform, Pulumi, or equivalent)
- Experience operating systems on at least one major cloud provider (AWS, GCP, or Azure)
More about this role
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.
Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.
We’re looking for an engineer to build and operate the core systems that power Phylo’s agentic AI platform in production. You’ll design and implement the distributed systems, compute environments, and service architecture that allow our AI agents to run reliably at scale — across cloud-native deployments and enterprise environments.
We are an AI-native engineering team: we use coding agents heavily, move fast, and hold a very high bar for engineering excellence.
Design and build production systems that orchestrate agent execution and power AI-driven scientific...
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