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Metro mid-level Java backend role with GenAI and payments specialization increases applicant competition.
Strong Payments/GPP requirement makes candidate background fit highly industry-sensitive.
Mandatory 5–8 years, payments domain, and specific Java+AI tech stack make filters highly strict.
Contribute to the architecture and development of GPP Payments product using Java, Spring Boot, Hibernate, and Microservices.
Develop and integrate AI-powered use cases leveraging Python, LLMs, RAG, and Generative AI frameworks to enhance Payments product capabilities.
Collaborate with cross-functional teams to identify and implement AI-driven improvements in automation, productivity, and customer experience.
5-8 years of software development experience.
Strong skills in Java (Core Java, J2EE), Spring Boot, Spring Cloud, Hibernate, JPA, REST APIs, Microservices, SQL, Kafka, MQ/JMS.
Good programming experience in Python and exposure to Generative AI technologies including LLMs, LangChain, RAG, Vector Databases, AI Agents.
Strong understanding of Payments/GPP domain and experience with Docker, CI/CD, and cloud platforms Azure/AWS/GCP.
Experienced in both backend Java microservices development and applying Generative AI for enterprise payment products.
Able to work across product architecture and AI integration, indicating a hybrid product-engineering-AI role.
Comfortable collaborating closely with Product Owners, Architects, QA, and business teams to deliver high-impact AI features within Payments domain.