Skip to content
NEXTMOVEFDE careers · United States
Lila Sciences

Staff Software Engineer, Scientific System of Record

AI summary of the role

Staff Software Engineer on the Scientific System of Record team, building the memory layer for an autonomous AI science platform.

What you’ll do

  • Design and build high-performance UIs and APIs that integrate with AI-driven applications
  • Develop schemas and manage SQL, NoSQL, and vector databases for performance and scalability
  • Drive implementation of front-end and backend services with focus on performance and reliability
  • Leverage AWS, Kubernetes, and DevOps practices to deploy production-grade systems at scale

What you’ll bring

  • 6–8+ years engineering experience building and deploying large-scale systems in production
  • Strong experience with React and TypeScript required; Python strongly preferred
  • Strong experience with SQL, NoSQL, and vector databases; proven schema design and query optimization
  • Proven ability to design and scale RESTful or GraphQL APIs

Technologies

TypeScript · React · Python · SQL · NoSQL · vector databases · RESTful APIs · GraphQL · AWS · Kubernetes

About Lila Sciences

Autonomous AI platform that executes the scientific method end-to-end—from hypothesis generation to experimental execution—for biotech, materials, and chemical R&D.

Series A

Source and classification

Deployment team leadership · Evidence for this classification:

Your Impact at LILA We are seeking a Staff Software Engineer to join our Scientific System of Record Team and help build the next-generation AI-driven scientific platform. You will focus on developing user interfaces, services, high-performance APIs, databases, and reliable systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You’ll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL databases, data lakehouses, workflow engines, and lab execution environments. This is an opportunity to apply your deep front-end and backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant, elegant systems, we would love to hear from you. About The Team The
How jobs are selected

Employer postings · Data from · Sources