Lila Sciences

1 month ago

Senior Software Engineer, App

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Join a fast-moving, AI-enabled application team building an AI-native platform that connects researchers with tools, data, and workflows. Design and implement high-performance UI and API layers, scalable data architectures, and production-grade services in collaboration with ML researchers and scientists. You’ll own backend challenges, optimize performance, and drive reliability at scale in a cross-disciplinary environment.

Location: Cambridge, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. 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 with a focus on performance, maintainability, and reliability.
•Diagnose and optimize system bottlenecks to ensure high availability and low latency across large-scale workloads.
•Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.

Pay and Benefits

Equity and Bonus:Equity

Perks:MedicalDentalVisionCommuter BenefitsMeal AllowanceEquity

Key Requirements

•5-8+ years of engineering experience building and deploying large-scale systems in production; strong backend focus.
•Full Stack Development: React, TypeScript, Monorepos like Nx, Tailwind, FastAPI, SQL/NoSQL, Python, Pydantic
•Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
•Hands on experience using AI coding assistants to drive productivity.
•Excellent communication and collaboration; proven ability to work cross-functionally with scientists, data engineers, and product teams; strong problem solving.

Experience:5-8 yearsLarge-scale systemsBackendFull stack development

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:ReactTypeScriptNxTailwindFastAPISQLNoSQLPythonPydanticAWSKubernetesTerraformCloudFormationGitHub ActionsSQLModelDjangoAirflow

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

1 month ago

Senior Software Engineer, App

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Cambridge, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. 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 with a focus on performance, maintainability, and reliability.
•Diagnose and optimize system bottlenecks to ensure high availability and low latency across large-scale workloads.
•Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.

Pay and Benefits

Equity and Bonus:Equity

Perks:MedicalDentalVisionCommuter BenefitsMeal AllowanceEquity

Key Requirements

•5-8+ years of engineering experience building and deploying large-scale systems in production; strong backend focus.
•Full Stack Development: React, TypeScript, Monorepos like Nx, Tailwind, FastAPI, SQL/NoSQL, Python, Pydantic
•Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
•Hands on experience using AI coding assistants to drive productivity.
•Excellent communication and collaboration; proven ability to work cross-functionally with scientists, data engineers, and product teams; strong problem solving.

Experience:5-8 yearsLarge-scale systemsBackendFull stack development

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:ReactTypeScriptNxTailwindFastAPISQLNoSQLPythonPydanticAWSKubernetesTerraformCloudFormationGitHub ActionsSQLModelDjangoAirflow

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn