4 months ago

Sr Principal/ Principal Software Engineer, AI Lab Execution System

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead the design, development, and optimization of a scalable AI-driven scientific platform, focusing on UI, APIs, and data systems. Collaborate with ML researchers, platform engineers, and scientists to build high-performance front-end and back-end services, integrate diverse data stores (SQL/NoSQL/Vector DBs), and deploy production-grade systems on AWS with Kubernetes.

Location: Cambridge, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
•Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs) 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 DevOps practices to build and deploy production-grade systems at scale.

Key Requirements

•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, with strength in either front-end or back-end or data modeling and design.
•Strong experience with TypeScript, React and Python.
•Strong experience with SQL, NoSQL, and emerging database technologies (e.g., Vector DBs) with proven schema design, indexing, and query optimization.
•Proven ability to design and scale RESTful or GraphQL APIs with focus on reliability and performance.

Experience:4-6 yearsLife sciencesResearch

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:TypeScriptReactPythonSQLNoSQLVector DBsRESTGraphQLAWSKubernetes

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

Website LinkedIn

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Lila Sciences

4 months ago

Sr Principal/ Principal Software Engineer, AI Lab Execution System

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Cambridge, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
•Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs) 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 DevOps practices to build and deploy production-grade systems at scale.

Key Requirements

•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, with strength in either front-end or back-end or data modeling and design.
•Strong experience with TypeScript, React and Python.
•Strong experience with SQL, NoSQL, and emerging database technologies (e.g., Vector DBs) with proven schema design, indexing, and query optimization.
•Proven ability to design and scale RESTful or GraphQL APIs with focus on reliability and performance.

Experience:4-6 yearsLife sciencesResearch

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:TypeScriptReactPythonSQLNoSQLVector DBsRESTGraphQLAWSKubernetes

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn