Senior Software Engineer, Applied AI

Lila Sciences
Cambridge, San Francisco
Workplace: OnsiteFull timeUSD 144,000 - 270,000 annuallyFunction: Software EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Collaboration"]

Senior Software Engineer in the Applied AI group building scalable backend systems, data pipelines, and AI integrations for an AI-driven scientific platform. You’ll bridge backend engineering and ML, leveraging LLMs, RAG, and agentic AI, while collaborating with ML researchers and platform engineers to productionize research. Strong focus on performance, reliability, and scalable AI workflows in a cloud native environment.

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FursaFursa
Lila Sciences
Lila Sciences
11 months ago

Senior Software Engineer, Applied AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Senior Software Engineer in the Applied AI group building scalable backend systems, data pipelines, and AI integrations for an AI-driven scientific platform. You’ll bridge backend engineering and ML, leveraging LLMs, RAG, and agentic AI, while collaborating with ML researchers and platform engineers to productionize research. Strong focus on performance, reliability, and scalable AI workflows in a cloud native environment.
Location: Cambridge, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and optimize backend systems, data pipelines, and AI integrations that power intelligent, data-driven applications.
  • •Build high-performance APIs and microservices enabling seamless integration between AI models, scientific tools, and user-facing applications.
  • •Architect and manage scalable data pipelines for structured, unstructured, and vectorized data for AI/ML workloads.
  • •Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.
  • •Leverage AWS, Kubernetes, and infrastructure-as-code to build robust, production-ready AI platforms.

Pay and Benefits

Salary: USD 144,000 - 270,000 annually
Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
  • •7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
  • •Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
  • •Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
  • •Hands-on experience integrating ML models or AI-driven workflows into production services.
Experience:7+ yearsAIMLData pipelines
Education:Bachelor's
Skills:CommunicationProblem-solvingCollaboration
Languages:English
Tech Stack:PythonFastAPIFlaskDjangoSQLNoSQLVector databasesAWSDockerKubernetesTerraformCloudFormationCI/CD

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
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