Lila Sciences · 8 hours ago
Senior Software Engineer, Applied AI
Cambridge, MA
Full-time
Hybrid
Senior Level
7+ years expLila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. They are seeking a Senior Software Engineer to join their Applied AI group to design and optimize backend systems and data pipelines that support AI-driven applications.
Artificial Intelligence (AI)Foundational AILife ScienceSoftware
Responsibilities
Applied AI Integration: Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks
API & Service Development: Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications
Data Pipeline Architecture: Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads
Database & Knowledge Systems: Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads
Cloud & Infrastructure: Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms
Performance & Reliability: Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows
Collaboration: Partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready systems
Qualification
Required
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
Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code
Ability to work cross-functionally with diverse teams and explain complex technical concepts to non-experts
Preferred
Experience working with life sciences, materials sciences, or other research-heavy fields
Comfort with fast-paced, iterative environments where impact and adaptability matter
Company
Lila Sciences
Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
201-500 employees
H1B Sponsorship
Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
Funding
Current Stage
Growth StageTotal Funding
$550.67MKey Investors
ARIANVenturesFlagship Pioneering
2026-01-20Grant· $0.67M
2025-10-14Series A· $115M
2025-09-14Series A· $235M
Recent News
MIT Technology Review
2026-01-22
2026-01-03
2025-12-17
Company data provided by crunchbase