Backend Engineer - ML Platform

The role

You will design and build the foundational ML platform and AI agents to accelerate data science model delivery. You will architect cloud-native microservices and own the end-to-end ML lifecycle.

What you will do

• Design and build the foundational ML platform and AI agents
• Architect cloud-native microservices running on Kubernetes
• Use infrastructure-as-code to automate model deployment and management
• Own the end-to-end ML lifecycle including training, testing, deployment, and real-time monitoring
• Evaluate and choose tools and technologies based on workload demands
• Collaborate with engineering, data science, and product teams
• Identify and fix reliability, scalability, and performance gaps

Required qualifications

• 3+ years of software engineering experience
• Strong proficiency in Python
• Hands-on experience with relational and NoSQL databases
• Experience with at least one major cloud platform (AWS, Azure, or GCP)
• Experience with training, testing, deploying, and monitoring real-time or near real-time ML models in production
• Fluent with AI-powered development tools like Cursor and Claude Code
• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field

Nice to have

• Familiarity with AI concepts like RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering

About the company

Lemonade is building the future of insurance with AI at the center.