Senior Software Engineer, Applied AI

Your Impact at LILA

What You'll Be Building

• Design and deploy backend services and data pipelines supporting LLMs, RAG, and agentic frameworks.
• Build high-performance APIs and microservices for AI models, scientific tools, and user applications.
• Architect scalable pipelines for structured, unstructured, and vectorized AI/ML data.
• Implement and optimize SQL, NoSQL, and vector databases for retrieval and inference.
• Use AWS, Kubernetes, and Terraform or CloudFormation to build production-ready AI platforms.
• Optimize system cost and speed while ensuring reliable, fault-tolerant AI workflows.
• Partner with researchers, engineers, and scientists to productionize models and algorithms.

What You’ll Need To Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• At least seven years building and scaling production APIs, data pipelines, and distributed services.
• Strong Python backend development skills, including FastAPI, Flask, or Django.
• Experience with SQL, NoSQL, vector databases, schema design, indexing, and query optimization.
• Hands-on integration of ML models or AI-driven workflows into production services.
• Proficiency with AWS, Docker, Kubernetes, CI/CD, and infrastructure as code.
• Ability to collaborate across functions and explain complex technical concepts to non-experts.

Bonus Points

• Experience in life sciences, materials science, or other research-heavy domains is preferred.
• Startup experience and adaptability in fast-paced iterative environments are preferred.

Compensation

• Compensation includes competitive base pay, bonus potential, and early-stage equity.
• Expected U.S. base salary range is USD 144,000 to USD 270,000.

Benefits

• Full-time U.S. employees receive medical, dental, vision, life and disability coverage, flexible time off, parental leave, education assistance, commuter benefits, and lunch support.
• International full-time employees receive regionally tailored benefits.

About LILA