GenAI Developer

Infosys Limited; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Infosys Limited in Bengaluru is seeking a GenAI Developer to design and implement advanced generative AI models and collaborate with cross-functional teams to integrate AI solutions into existing systems.

The role requires 5-9 years of experience in ML/AI with a focus on NLP, large language models, and agentic AI. It offers opportunities to mentor peers and contribute to scalable AI solutions within the Topaz COE unit.

Qualifications

• B.E./B.Tech or MCA/M.Tech with relevant AI/ML coursework or experience.
• 5-9 years of work experience in ML/AI, with emphasis on GenAI.
• Experience with NLP and large language models is desirable.

Responsibilities

• Design and implement advanced Generative AI models to solve complex problems.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Conduct research and stay updated with the latest advancements in NLP and AI technologies.
• Develop scalable and efficient AI algorithms to enhance product offerings.
• Mentor junior team members and share knowledge to foster a culture of learning.
• Good to have skills: Machine Learning, Data Analysis, Deep Learning, Python Programming, Cloud Computing

Skills

Machine Learning

Generative AI

Agentic AI

Large Language Models

NLP

AI

Education

Bachelor of Engineering

BCA

BTech

MCA

MTech

Tools

Python

Cloud Computing

Job description

Job ID/Reference Code INFSYS-INDEED1-253932

Work Experience 5 - 9 Years

Job Title GenAI Developer

Educational Requirements

Bachelor of Engineering,BCA,BTech,MCA,MTech

Service Line

Topaz COE unit

Responsibilities

• Design and implement advanced Generative AI models to solve complex problems.


• Collaborate with cross-functional teams to integrate AI solutions into existing systems.


• Conduct research and stay updated with the latest advancements in NLP and AI technologies.


• Develop scalable and efficient AI algorithms to enhance product offerings.


• Mentor junior team members and share knowledge to foster a culture of learning.


• Good to have skills:Machine Learning, Data Analysis, Deep Learning, Python Programming, Cloud Computing

Technical and Professional Requirements

• Primary skills: Machine Learning->Generative AI-> Agentic AI-> Large Language Models-> NLP-> Artificial Intelligence

Preferred Skills

Technology->AI-Data science->Machine Learning Technology->AI-Generative AI->Generative AI - Basic Technology->AI-Agentic AI->Agent Engineering