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Senior Backend Engineer, ML Platform
On-siteFull-timeAI EngineeringInsurance
Build and scale a cloud-native machine learning platform and AI-agent infrastructure that helps data science teams deliver and operate production models.
Responsibilities
- Design and build foundational machine learning platform infrastructure and AI agents
- Architect cloud-native microservices on Kubernetes
- Automate model deployment and management with infrastructure as code
- Own the machine learning lifecycle from training and testing through deployment and real-time monitoring
- Evaluate tools and technologies against workload and performance requirements
- Collaborate with engineering, data science, and product teams
- Identify and resolve reliability, scalability, and performance issues
Requirements
- At least 6 years of software engineering experience delivering high-scale, production-grade systems
- Strong Python proficiency
- Experience with relational and NoSQL databases
- Experience with at least one major cloud platform, such as AWS, Azure, or GCP
- Experience training, testing, deploying, and monitoring real-time or near-real-time machine learning models in production
- Bachelor’s or master’s degree in computer science, engineering, statistics, or a related field
- Availability to work in an office environment most days of the week
Nice to have
- Knowledge of RAG, embeddings, mixture-of-experts, prompt crafting, or LLM context engineering
- Experience with AI-powered development tools such as Cursor or Claude Code