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Java Full Stack/ Python GenAI Developer

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Onsite

Java Full Stack/ Python GenAI Developer

Infosys

Java Full Stack/ Python GenAI Developer

Skills

ReactDjangoFlaskPythonJavaMicroservicesNumPypandasSpring BootMachine LearningAIFastAPI

1 month ago

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Important information


Contract type:

Permanent

Location:

Bhubaneswar, Odisha, India

Work mode:

Onsite

Published on:

16 September 2026

What they need


Skill 1: Java, Spring boot, Microservices, Hibernate, Angular, React.js Skill 2 : Python, GenAI/ML, Django

Java Full Stack Developer - Analyzing user requirements, envisioning system features and functionality.

  • Design, build, and maintain efficient, reusable, and reliable Java codes by setting expectations and features priorities throughout development life cycle
  • Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development
  • Contributing to team meetings, troubleshooting development and production problems across multiple environments and operating platforms
  • Understand Architecture Requirements and ensure effective Design, Development, Validation and Support activities
  • In-depth knowledge of design issues and best practices
  • Solid understanding of object-oriented programming
  • Familiar with various design, architectural patterns and software development process.
  • Experience with both external and embedded databases
  • Creating database schemas that represent and support business processes
  • Implementing automated testing platforms and unit tests Python _GenAI/ML Developer- Design, develop, and maintain Python-based AI/ML and GenAI services aligned to product and business needs.
  • Build and optimize RESTful APIs using FastAPI/Flask for model inference and GenAI workflows.
  • Implement GenAI solutions (prompting, orchestration, evaluation) and integrate them into applications responsibly.
  • Develop and maintain ML pipelines for data preparation, training, validation, and inference using NumPy and Pandas.
  • Apply MLOps practices to enable reproducible experiments, versioning, CI/CD, monitoring, and reliable deployments.
  • Collaborate with stakeholders to translate requirements into technical designs, estimates, and deliverables.
  • Write clean, testable code; conduct reviews; and ensure performance, security, and scalability standards are met.
  • Troubleshoot production issues, improve observability, and continuously enhance model/service quality.
  • Excellent customer interfacing skills.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and outstanding analytical and Problem-solving skills.
  • Excellent organizational and leadership skills.

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