Lemonade
Insurance
SeniorBackendEngineer-MLPlatform
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“Senior Backend Engineer - ML Platform at Lemonade. Skills: ML Platform, Python, Kubernetes, AI agents. Design and build ML platform. build AI agents”
What You'll Achieve.
accelerate data science model delivery; move faster; ship smarter; operate with confidence
Industry & Context.
Sharp problem-solving instincts
What They're Looking For.
Must Have
6+ years of software engineering experience, Python, relational and NoSQL databases, AWS, Azure, or GCP, training, testing, deploying, and monitoring real-time or near real-time ML models in production, AI-powered development tools like Cursor and Claude Code, RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering, Sharp problem-solving instincts, ability to move fast without cutting corners, 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
What You'll Do.
Design and build ML platform
Architect cloud-native microservices
automate model deployment
automate model management
Evaluate tools and technologies
Identify and fix gaps
How You'll Work.
Team & Collaboration
Collaborate with engineering teams; Collaborate with data science teams; Collaborate with product teams
Full Job Description
We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how Lemonade uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. IN THIS ROLE YOU'LL - Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units - Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management - Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring - Evaluate and choose the right tools and technologies based on workload demands and performance requirements - Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals - Identify and fix reliability, scalability, and performance gaps before they become problems WHAT YOU'LL NEED - 6+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems - Strong proficiency in Python - Hands-on experience with relational and NoSQL databases, and 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, and genuinely curious about what's next
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