Lilasciences

Lilasciences

Sr Principal/Principal Software Engineer, App

Cambridge, MA USA; San Francisco, CA USA · Principal · Full-time

Sponsorship not specified$204k-$348kDetected 29 days ago
TypeScriptPythonReactTailwind CSSDjangoFastAPIBackend DevelopmentFull-Stack DevelopmentGitSQLNoSQLVector DatabasesAWSCloud PlatformsKubernetesTerraformCI/CDGitHub ActionsDevOpsTemporalMachine LearningPyTorchPandasNumPy

About the role

  • The Application Team sits at the center of LILA - the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.
  • AI isn't a feature here - it's the architecture.
  • Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.

Responsibilities

  • Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
  • Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
  • If you want to build at the intersection of AI and science, move fast without breaking trust, and grow into the kind of engineer who can architect systems that don't exist yet - we want to talk.
  • Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
  • Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
  • Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
  • Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
  • Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • You must be strong in either front-end or backend.
  • Hands on experience using AI coding assistants to drive productivity is required.
  • Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams
  • Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.
  • Cloud & DevOps Knowledge: Hands-on experience with AWS
  • strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
  • Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
  • Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
  • Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).

Skills

  • Your Impact at LILA
  • Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result.
  • AI isn't a feature here - it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.

Compensation

  • We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
  • International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions
  • Expected Base Salary Range
  • $204,000 - $348,000 USD
  • USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Benefits

  • Bonus Points For
  • U.S. Benefits.
  • Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage
  • employer-paid life and disability insurance
  • flexible time off with generous company wide holidays
  • paid parental leave
  • an educational assistance program
  • commuter benefits, including bike share memberships for office based employees
  • International Benefits.
  • Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.

Company info

  • The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.
  • You'll learn domains you never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your technical surface area grows fast.
  • You'll ship things that matter. The tools you build accelerate research timelines from months to days.

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Lilasciences's careers page and normalized into a canonical job model.