Senior Engineer/Engineer - Enterprise Gen Ai

Company: Qualcomm India Private Limited

Job Area: Engineering Group, Engineering Group > Software Engineering

Job Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Role Overview

As an AI Engineer, you will be the architect of intelligence, implementing advanced models and autonomous workflows that power our agentic applications.

• Focus: RAG, Model Fine-tuning, and Agentic Workflows

Minimum Qualifications

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
• OR Master’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc.

Key Responsibilities

• Design and implement RAG-based (Retrieval-Augmented Generation) solutions to enhance LLM capabilities.
• Develop and optimize LLM fine-tuning strategies for domain-specific adaptation (e.g., Wireless/5G).
• Build and maintain agentic workflows for autonomous, multi-step AI systems.
• Create robust evaluation frameworks to measure and iterate on model performance.

Requirements

• Experience: 1-5 years in AI/Machine Learning engineering.
• Technical Stack: Python, PyTorch/TensorFlow, and Vector Databases (Milvus, Pinecone, etc.).
• AI Specialization: Experience with LangChain, LlamaIndex, and Transformers. Knowledge of prompt engineering and Reinforcement Learning is highly valued.
• Education: Bachelor’s in CS/Engineering; Master’s with ML specialization preferred.