GenAI Engineer — Build Scalable AI Solutions

Infosys Limited; North Carolina; On-site; USD 140,000 - 200,000; Full time

Job summary

Infosys Limited seeks a Specialist Programmer in the Strategic Technology Group (STG) to drive large-scale technology initiatives with deep expertise in software design, cloud-native architectures, data engineering, and AI. The role emphasizes hands-on leadership, architectural judgment, and mentoring teams to deliver resilient outcomes.

You will contribute to design frameworks, reusable assets, and production-grade solutions, including generative AI applications, while collaborating with

Qualifications

• Experience in developing and applying generative AI models.
• Strong understanding of machine learning fundamentals, deep learning architectures, and NLP.
• Proficiency in Python and familiarity with deep learning frameworks (TensorFlow or PyTorch).
• Manage the AI development lifecycle from data prep to deployment.
• Collaborate with data scientists and engineers to integrate AI solutions.

Responsibilities

• Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
• Define design specifications and technology frameworks; assist in reusable assets creation.
• Deliver high-quality, optimized code; engage in debugging and automation.
• Support the team to foster a robust technical environment and error-free coding.
• Participate in knowledge transfer and assist in transitioning processes.

Skills

Python

Agentic AI

DevOps

Education

Bachelor’s degree or foreign equivalent

Tools

OpenShift

AWS

TensorFlow

PyTorch

Job description

Infosys Limited seeks a Specialist Programmer in the Strategic Technology Group (STG) to drive large-scale technology initiatives with deep expertise in software design, cloud-native architectures, data engineering, and AI. The role emphasizes hands-on leadership, architectural judgment, and mentoring teams to deliver resilient outcomes.

You will contribute to design frameworks, reusable assets, and production-grade solutions, including generative AI applications, while collaborating with