Software Engineer, AI Lab Execution System

Your Impact at LILA

We are seeking a Staff Software Engineer - AI Lab Execution System to join our software group and help build the next generation AI-driven scientific platform. In this role, you will design, build, and optimize intelligent, data-driven applications front‑end. You will focus on developing UI, services, high-performance APIs, databases, and ensuring the reliability of services 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 lake houses, and vector databases. 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 and elegant systems, we would love to hear from you.

• Design and build UI and APIs that integrate with AI‑driven applications.
• Develop schemas and manage diverse data systems (SQL, No
  
  SQL, vector DBs and others) for optimal performance and scalability.
• Drive the implementation of front‑end and backend services, focusing on performance, maintainability, and reliability.
• Diagnose and optimize system bottlenecks, ensuring high availability and low‑latency performance across large‑scale workloads.
• Leverage AWS services, Kubernetes, and modern Dev Ops practices to build and deploy production‑grade systems at scale.
• Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 4–6 years of engineering experience building and deploying large‑scale systems in production. You must be strong in either front‑end or backend or data modeling and design.
• Strong experience with React and Typescript is required; proficiency in Python is also needed.
• Proven experience with SQL, No
  
  SQL, and emerging database technologies (e.g., vector DBs); demonstrated skill in schema design, indexing, and query optimization.
• Proven ability to design and scale RESTful or Graph
  
  QL APIs with a focus on reliability and performance.
• Hands‑on experience using AI coding assistants to drive productivity.
• Experience working with life sciences, material sciences, or other research‑heavy fields.
• Excellent communication and collaboration skills, with a track record of working cross‑functionally with scientists, data engineers, and product teams; ability to explain complex ideas to diverse audiences.
• Strong problem‑solving skills with the ability to take ownership of complex backend challenges, balancing scalability, performance, and maintainability.

• Hands‑on experience with AWS, GCP, or Azure; strong understanding of Kubernetes, containerization, infrastructure‑as‑code (Terraform, Cloud Formation), and CI/CD pipelines (Git Hub Actions).
• Experience with orchestration tools (Flyte, Temporal, Airflow, Prefect, etc.).

We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

Expected Base Salary Range: $192,000 USD – $238,000 USD