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Salary
$27k – $62k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.

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.

.

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