GEN AI Full Stack Engineer

About the role

Join the Infosys SURE (Services, Utilities, Resources, Energy) unit, dedicated to empowering businesses within the services, utilities, energy, and resources sectors through strategic digital transformation. As part of this pioneering team, you will leverage advanced AI and digital technologies to drive innovation and operational excellence on transformative projects that shape the future of these critical industries. Collaborate with industry experts and develop resilient strategies that respond to change and seize new opportunities.

Responsibilities

• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided.
• Facilitate software application design discussions and document design decisions to guide the technical team toward building software solutions.
• Participate in coding and integrate new features or updates into existing applications, focusing on maintaining system stability.
• Conduct code reviews, make changes to the codebase, and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes to uphold software quality standards.
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications.
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability.
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist similar projects.

Requirements

• Strong hands-on experience in AI/ML, GEN AI, Agentic AI, RAG, and React/Next.JS.
• Proficiency in back-end technologies such as Node.js, Python (Fast API/Django/Flask).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of databases—SQL and NoSQL.
• Bachelor’s degree or foreign equivalent from an accredited institution. Three years of progressive experience in the specialty may substitute for each year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates must be authorized to work for any employer in the United States without employer-based visa sponsorship. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Preferred Qualifications

• Strong understanding of software architecture, microservices, and distributed systems.
• Hands-on experience in containerization and orchestration (Docker, Kubernetes).
• Experience with DevOps tools (GitHub Actions, Terraform).
• Experience working in global delivery environments with multicultural teams.
• Familiarity with NLP, LLM fine-tuning, and embedding models.

Skills

• Collaborative spirit and excellent communication skills.
• Ability to handle end-to-end SDLC phases from requirement gathering to implementation.
• Knack for translating complex requirements into actionable development tasks.
• Passion for design and hands-on coding experience.
• Proactive approach to testing, troubleshooting, and refining applications.
• Ability to work with cross-functional teams and perform software integration.

Benefits

• Medical, Dental, Vision, and Life Insurance.
• Long-term and Short-term Disability.
• Health and Dependent Care Reimbursement Accounts.
• Accident, Critical Illness, Hospital Indemnity, and Legal Insurance.
• 401(k) plan with contributions dependent on salary level.
• Paid holidays plus Paid Time Off.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower businesses with agile digital solutions at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.