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Mid-level backend AI role in metro with broad skillset and popular title.
Core Java, microservices, cloud, and LLM integration skills are highly transferable across industries.
Mandatory 5+ years, AI experience, Java/Spring, cloud and production on-call make shortlisting stringent.
Develop and scale backend microservices and data pipelines processing large volumes of customer conversations into actionable AI-driven insights.
Integrate and operationalize AI and LLM services from vendors like Azure, OpenAI, Google within scalable cloud PaaS environments (e.g. GCP).
Own code in production including on-call support, troubleshooting, and ensuring system scalability, reliability, and security.
5+ years of software development experience.
Proficiency in Java with Spring Framework, Spring Boot, and REST API design.
Hands-on experience building AI-powered products, including LLM integration and prompt design.
Experience developing backend microservices in cloud PaaS environments (preferably GCP) with knowledge of noSQL and message buses.
Experienced backend engineer comfortable with scalable, event-driven microservice architectures in cloud environments.
Demonstrated ability to integrate AI and large language model services into production systems with attention to accuracy and traceability.
Familiarity with operational ownership practices including production support, troubleshooting, and agile methodologies.