Principal AI Engineer

Infosys; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Infosys seeks an experienced AI Engineer in Bengaluru to design, develop, and deploy AI systems using LLMs, RAG, and Generative AI. The role emphasizes building agentic AI workflows, scalable Python pipelines, and cross-functional collaboration for production-ready models.

The ideal candidate has 8+ years in AI/ML, deep Python expertise, and hands-on experience with state-of-the-art frameworks and RAG/vector databases, along with strong problem-solving and communication skills.

Qualifications

• 8+ years of AI/ML engineering experience.
• Strong Python proficiency and libraries (PyTorch, TensorFlow).
• Hands-on with Generative AI, Agentic AI, and LLM-based architectures.
• Expertise in RAG techniques and vector databases.
• Solid prompt engineering, fine-tuning, and model evaluation.

Responsibilities

• Design, develop, and deploy AI solutions leveraging LLMs, RAG, and Generative AI technologies.
• Build and optimize agentic AI systems for complex workflows and automation.
• Implement scalable and efficient Python-based applications for AI/ML pipelines.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Conduct research and stay updated on emerging AI trends, tools, and best practices.
• Troubleshoot and resolve technical challenges related to AI model performance and scalability.

Skills

Python

PyTorch

TensorFlow

Generative AI

Agentic AI

LLMs

RAG

Vector databases

Prompt engineering

Fine-tuning

Model evaluation

Tools

Python libraries (NumPy, SciPy)

Job description

We are seeking a highly skilled AI Engineer with strong expertise in Python, Generative AI, ML, NLP and Agentic AI. The ideal candidate will have hands-on experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI frameworks. This role requires excellent problem-solving abilities, strong analytical skills, and effective communication to collaborate across teams and deliver cutting-edge AI solutions.

Key Responsibilities

• Design, develop, and deploy AI solutions leveraging LLMs, RAG, and Generative AI technologies.
• Build and optimize agentic AI systems for complex workflows and automation.
• Implement scalable and efficient Python-based applications for AI/ML pipelines.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Conduct research and stay updated on emerging AI trends, tools, and best practices.
• Troubleshoot and resolve technical challenges related to AI model performance and scalability.

Required Skills & Qualifications

• 8+ years of relevant experience in AI/ML engineering or related fields.
• Strong proficiency in Python and related libraries/frameworks (e.g., PyTorch, TensorFlow).
• Hands-on experience with Generative AI, Agentic AI, and LLM-based architectures.
• Expertise in RAG techniques and knowledge of vector databases.
• Solid understanding of prompt engineering, fine-tuning, and model evaluation.
• Strong analytical and problem-solving skills. Excellent communication and collaboration abilities.