Java Full Stack/ Python GenAI Developer

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56+ countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Responsibilities

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.

Technical requirements

Skill 1: Java, Spring boot, Microservices, Hibernate, Angular, React.js

Skill 2 : Python, GenAI/ML, Django

Additional responsibilities

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.

Education

MCA,MSc,MTech,Bachelor Of Computer Science,Bachelor of Engineering,BTech