Senior AI Software Engineer - Backend

Senior Software Engineer in AI - Java Spring, backend

Voice of Customer (VOC) is Five9 s AI-powered customer insights product. Every day, contact centers handle enormous volumes of voice and chat conversations that hold the clearest signal about what customers actually want - and almost none of it gets read. VOC applies AI to those conversations at scale to surface why customers are reaching out, how those reasons cluster and shift over time, and where the business should act. The result is a set of insights and analytics that CX and operations leaders use to make decisions, with the ability to trace any insight back to the conversations behind it.

Key Responsibilities:

• 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.

Key Skills:

• 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.
• Experience in applying design patterns and separating concerns in a distributed system.
• Solid understanding of security best practices for protecting applications and data.
• Must have experience working within an Agile/Scrum team.
• Positive, self-motivated and enthusiastic attitude with a strong sense of ownership.
• Strong pro-active communication skills, both verbal and written.
• AI skills in speech recognition and natural language processing are a plus but not required.
• Experience in contact center software is a plus but not required.