Applied AI Engineer — Bio Data & Platform

Becoming; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

Full benefits

High-trust, high-ownership environment

Rapid growth in scope

Job summary

Becoming is seeking an Applied AI Engineer to help build the software, infrastructure, and data systems that power our biological intelligence platform. This role sits at the intersection of software engineering, AI infrastructure, data engineering, and scientific computing, working with biologists, ML researchers, and automation engineers.

You’ll contribute from lab data ingestion pipelines and cloud infrastructure to model-serving systems and user-facing applications, delivering practical AI

Qualifications

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

Responsibilities

• 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 data.
• Develop infrastructure supporting AI model training and evaluation.

Skills

Frontend technologies (React, Type{S}c

Backend languages (Python, Go, Rust, )

APIs & data models

Cloud platforms (AWS, GCP, Azure)

Time-series data & stateful systems

Linux environments

Software design & production systems

Data pipelines & ingestion

Education

BS/MS/PhD in CS or related field

Job description

Becoming is seeking an Applied AI Engineer to help build the software, infrastructure, and data systems that power our biological intelligence platform. This role sits at the intersection of software engineering, AI infrastructure, data engineering, and scientific computing, working with biologists, ML researchers, and automation engineers.

You’ll contribute from lab data ingestion pipelines and cloud infrastructure to model-serving systems and user-facing applications, delivering practical AI