GEN AI Engineer

Infosys; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys in Bengaluru is seeking a highly skilled AI Engineer to implement and fine-tune generative AI models under senior guidance. You will help with prompt engineering, model deployment, monitoring, and API development for AI applications.

The role emphasizes collaboration across data scientists and engineers, data preprocessing, and staying current with GenAI advances. Experience with cloud AI environments is a plus.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• 35 years of professional experience in AI/ML development, with exposure to Generative AI.
• Experience delivering AI/ML projects in a collaborative setting.
• Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.

Responsibilities

• Implement and fine-tune generative AI models under the guidance of senior team members.
• Contribute to prompt engineering and development of AI-powered workflows.
• Assist with the deployment, monitoring, and maintenance of AI models in production environments.
• Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
• Perform data preprocessing, feature engineering, and API development for AI applications.
• Participate in code reviews, testing, and documentation to ensure quality and reliability.
• Stay updated with advancements in GenAI and share relevant learnings with the team.

Skills

PyTorch

TensorFlow

Keras

LLMs

Prompt engineering

Fine-tuning

LoRA

QLoRA

RAG systems

Hybrid search

Docker

Python

Data preprocessing

Scripting

LangChain

Hugging Face

LlamaIndex

Git

AI compliance

Data privacy

Responsible AI

Education

Bachelor of Engineering

Bachelor of Technology

Bachelor of Science

Bachelor of Comp. Applications

Master of Technology

Master of Engineering

Master of Science

Master of Comp. Applications

Tools

LangChain

Hugging Face

LlamaIndex

Job description

Educational Requirements

Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Science,Master Of Comp. Applications

Service Line

Engineering Services

Responsibilities

Implement and fine-tune generative AI models under the guidance of senior team members. Contribute to prompt engineering and development of AI-powered workflows. Assist with the deployment, monitoring, and maintenance of AI models in production environments. Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities. Perform data preprocessing, feature engineering, and API development for AI applications. Participate in code reviews, testing, and documentation to ensure quality and reliability. Stay updated with advancements in GenAI and share relevant learnings with the team.

Additional Responsibilities

Required Soft Skills: Strong teamwork and communication abilities. Willingness to learn new AI/ML technologies and frameworks. Analytical mindset and attention to detail. Openness to feedback and continuous improvement. Qualifications: Bachelors degree or Masters degree in Computer Science, Data Science, AI, or a related field. 35 years of professional experience in AI/ML development, with exposure to Generative AI. Experience delivering AI/ML projects in a collaborative setting. Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.

Technical and Professional Requirements

Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA). Exposure to RAG systems and basic knowledge of hybrid search techniques. Understanding of model deployment and containerization (Docker). Proficiency in Python for AI development, data preprocessing, and scripting. Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus. Understanding of version control systems (Git). Awareness of AI compliance, data privacy, and responsible AI principles.

Preferred Skills

Technology->AI-Generative AI->Conversational AI Platform

Technology->AI-Generative AI->Generative AI - Basic

Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai

Technology->AI-Generative AI->Generative AI for Data Analytics

Technology->AI-Generative AI->Prompt Engineering

Generic Skills

Technology->OpenSystem->Python - OpenSystem