Sr Principal/Principal Software Engineer, App

Lila Sciences
Cambridge, San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8-15 yearsEducation: bachelorsSkills: ["React","TypeScript","FastAPI","Python","SQL","NoSQL","Pydantic","AWS","Kubernetes","Terraform","CloudFormation","GitHub Actions","Django","SQLModel","ORMs","Airflow","Dagster","Pandas","Numpy","SciPy"]

Design and build high-performance frontend and backend surfaces that let researchers collaborate with AI, integrating agent frameworks, LLM orchestration, and data pipelines. You’ll work across AI-native platforms at the intersection of machine learning, life sciences, and software to deliver scalable, maintainable systems that accelerate scientific discovery.

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Lila Sciences
Lila Sciences
3 months ago

Sr Principal/Principal Software Engineer, App

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Last checked: 1 hour agoStatus: Live

Job Summary

Design and build high-performance frontend and backend surfaces that let researchers collaborate with AI, integrating agent frameworks, LLM orchestration, and data pipelines. You’ll work across AI-native platforms at the intersection of machine learning, life sciences, and software to deliver scalable, maintainable systems that accelerate scientific discovery.
Location: Cambridge, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and build UI and APIs that integrate with AI-driven applications.
  • •Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs) for scalability.
  • •Drive the implementation of front-end and backend services with a focus on performance, maintainability, and reliability.
  • •Diagnose bottlenecks and optimize system performance for high availability and low latency.
  • •Collaborate cross-functionally with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • •8-15 years of engineering experience building and deploying large-scale systems in production; strong in either front-end or back-end.
  • •Full Stack Development: React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic.
  • •Hands-on experience using AI coding assistants to drive productivity.
  • •Excellent communication and collaboration skills with cross-functional teams; strong problem-solving abilities.
Experience:8-15 yearsAILife sciencesLab software
Education:Bachelor's
Skills:ReactTypeScriptFastAPIPythonSQLNoSQLPydanticAWSKubernetesTerraformCloudFormationGitHub ActionsDjangoSQLModelORMsAirflowDagsterPandasNumpySciPy
Languages:English
Tech Stack:ReactTypeScriptNxTailwindFastAPIPythonSQLNoSQLPydanticAWSKubernetesTerraformCloudFormationGitHub ActionsDjangoSQLModelORMsAirflowDagsterPandas

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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