Applied AI Engineer

Becoming is building Developmental Intelligence: AI for predicting how organisms change over time. The Applied AI Engineer will build software, infrastructure, and data systems for a biological intelligence platform, including laboratory data pipelines, cloud infrastructure, model-serving systems, scientific tools, and user-facing applications.

What you'll do:

• Design and develop production-grade software systems
• Build internal applications and scientific tooling
• Develop APIs and backend services
• Build and maintain web applications and dashboards
• Create systems for experiment tracking and data visualization
• Improve software reliability, testing, and deployment processes
• Build and maintain large-scale biological data pipelines
• Design systems for ingestion, storage, transformation, and retrieval of multimodal biological data
• Develop infrastructure supporting AI model training and evaluation
• Optimize data movement between laboratory systems, cloud environments, and computational pipelines
• Improve dataset quality, lineage, reproducibility, and governance
• Support model serving and inference infrastructure

What they're looking for:

• BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related field
• At least 1 year of industry experience
• Strong proficiency in modern frontend technologies (e.g. React, TypeScript, or similar)
• Strong backend experience (e.g. Python, Go, Rust, Node, or similar)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience designing and maintaining APIs, services, and data models
• Comfort working with time-series data and stateful systems
• Strong understanding of databases and data architectures
• Familiarity with Linux environments and software deployment
• Thrives in startup fast pace and high intensity environments

Benefits:

• Meaningful equity depending on experience level
• Full benefits
• High-trust, high-ownership environment
• Rapid growth in scope and responsibility