Senior AI Software Engineer - Backend

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Skills you'll use

What you'll do

• Be part of an agile team developing a scalable, highly available application platform using modern PaaS platforms such as GCP.
• Utilizing Java Spring Framework and Spring Boot for creation of highly scalable, robust microservices. Reactive programming is desirable but not required.
• Build and scale the backend services and data pipelines that turn large volumes of customer conversations into insights.
• Integrate AI and LLM services into those pipelines, and make sure the insights they produce are accurate and traceable.
• Understand how to leverage PaaS components, such as message buses, cloud functions (lambdas), and noSQL databases when developing software in order to achieve scalability, reliability, and operability.
• Participate and contribute to requirements analysis and feature grooming.
• Document and communicate clearly architecture and implementation solutions.
• Have ownership of your code in production, including on-call, troubleshooting.

Who can apply

• 5+ years software development experience (mandatory).
• Highly proficient in Java - Spring Framework, Spring Boot, and REST API design. Reactive programming (rxjava or similar) is desirable but not required.
• Hands-on experience building AI-powered products or services, including practical LLM integration - prompt design, structured output, evaluation, and managing cost and latency.
• Hands-on experience designing and implementing scalable, event-driven microservices.
• Experience with PaaS hosted relational and no-SQL databases (mySQL, BigQuery, DataStore, Redis, etc).
• Experience with public cloud technologies and tools - Kubernetes, noSQL databases, message buses.
• Experience with large-scale data processing and analytics is a plus.
• Familiarity with vibe coding using different AI tools like Claude Code.
• Experience in developing automated test cases with modern tools such as JUnit.
• Experience in operational code ownership - on-call, troubleshooting, uptime.

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