PUNE · FULLTIME
Java/Gen AI developer
Zensar Technologies
Pune · onsite · Posted 35d ago
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Section · 01
About this role
Software Engineer - Payments AI
Role Summary
We are looking for a strong Java developer with expertise in Spring Boot, Hibernate, Microservices, and Payments (GPP) who can also leverage Python and Generative AI technologies to build innovative AI-powered capabilities for our Payments product. This role combines deep product knowledge with modern AI development.
Key Responsibilities
- Understand and contribute to the GPP Payments product architecture and business workflows.
- Design and develop scalable applications using Java, Spring Boot, Hibernate, REST APIs, and Microservices.
- Build and maintain backend services, integrations, and messaging solutions.
- Develop AI-powered use cases using Python, LLMs, RAG, prompt engineering, and AI frameworks.
- Integrate AI capabilities into existing Payments products to improve productivity, automation, and customer experience.
- Collaborate with Product Owners, Architects, QA, and business teams to identify and implement high-value AI opportunities.
- Follow SDLC best practices, coding standards, CI/CD, testing, and deployment processes.
Required Skills
- 5-8 years of experience in software development.
- Strong expertise in:
- Java, J2EE, Core Java
- Spring Boot, Spring Cloud
- Hibernate, JPA
- REST APIs Microservices
- SQL, Kafka, MQ/JMS
- Maven/Gradle, JUnit, Mockito
- Strong understanding of Payments/GPP domain.
- Good programming experience in Python.
- Exposure to Generative AI, LLMs, LangChain, RAG, Vector Databases, and AI Agents.
- Experience with Docker, CI/CD, and Azure/AWS/GCP.
Preferred
- Hands-on experience delivering AI use cases in enterprise products.
- Knowledge of Semantic Search, Embeddings, and Vector Databases.
-
Strong analytical, problem-solving, and communication skills.
.
Role Summary
We are looking for a strong Java developer with expertise in Spring Boot, Hibernate, Microservices, and Payments (GPP) who can also leverage Python and Generative AI technologies to build innovative AI-powered capabilities for our Payments product. This role combines deep product knowledge with modern AI development.
Key Responsibilities
- Understand and contribute to the GPP Payments product architecture and business workflows.
- Design and develop scalable applications using Java, Spring Boot, Hibernate, REST APIs, and Microservices.
- Build and maintain backend services, integrations, and messaging solutions.
- Develop AI-powered use cases using Python, LLMs, RAG, prompt engineering, and AI frameworks.
- Integrate AI capabilities into existing Payments products to improve productivity, automation, and customer experience.
- Collaborate with Product Owners, Architects, QA, and business teams to identify and implement high-value AI opportunities.
- Follow SDLC best practices, coding standards, CI/CD, testing, and deployment processes.
Required Skills
- 5-8 years of experience in software development.
- Strong expertise in:
- Java, J2EE, Core Java
- Spring Boot, Spring Cloud
- Hibernate, JPA
- REST APIs Microservices
- SQL, Kafka, MQ/JMS
- Maven/Gradle, JUnit, Mockito
- Strong understanding of Payments/GPP domain.
- Good programming experience in Python.
- Exposure to Generative AI, LLMs, LangChain, RAG, Vector Databases, and AI Agents.
- Experience with Docker, CI/CD, and Azure/AWS/GCP.
Preferred
- Hands-on experience delivering AI use cases in enterprise products.
- Knowledge of Semantic Search, Embeddings, and Vector Databases.
-
Strong analytical, problem-solving, and communication skills.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Section · Company
About Zensar Technologies
Zensar Technologies
IT Services & Consulting
10.0k+
employees
2001
25 years old
Pune, Maharashtra
India
About
Industries
Employee ratings
2,994 reviews
Culture
3.5
Career growth
3.0
Work-life
3.8
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