Sr Engineer/Sr. Lead

Qualcomm India Private Limited is seeking a Sr. Engineer/Sr. Lead - Generative AI in Hyderabad. This role is part of the Engineering Group, specifically within Software Engineering.

As a Qualcomm Software Engineer, you will be instrumental in designing, developing, creating, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs. Your work will launch cutting-edge, world-class products that meet and exceed customer needs. You will collaborate closely with systems, hardware, architecture, and test engineers, alongside other teams, to design system-level software solutions and gather critical information on performance requirements and interfaces.

We are looking for experienced Machine Learning Engineers specializing in Generative AI to join our core AI team. The ideal candidate will lead the design, development, and deployment of cutting-edge generative AI solutions, with a strong emphasis on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.

Key Responsibilities:

• Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources.
• Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation.
• Create robust evaluation frameworks for measuring and improving model performance.
• Build and maintain agentic workflows for autonomous AI systems.
• Collaborate with cross-functional teams to identify opportunities and implement AI solutions.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, or a related technical field.
• 3+ years of experience in Machine Learning/AI engineering.
• Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.
• Practical experience with LLM deployments and fine-tuning.
• Experience with vector databases and embedding models.
• Familiarity with modern AI/ML infrastructure and cloud platforms like AWS, GCP, or Azure.
• Strong understanding of RAG architectures and implementation.
• Experience levels range from 3-8 years.

Preferred Qualifications:

• Experience with popular LLM frameworks like Langchain, LlamaIndex, or Transformers.
• Knowledge of prompt engineering and chain-of-thought techniques.
• Experience with containerization and microservices architecture.
• Background in Natural Language Processing (NLP) and deep learning.
• Background in Reinforcement Learning.
• Contributions to open-source AI projects.
• Experience with MLOps and model deployment pipelines.

Skills and Competencies:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Experience with agile development methodologies.
• Ability to balance multiple projects and priorities.
• Strong focus on code quality and best practices.
• Understanding of AI ethics and responsible AI development.

Location: Hyderabad

Experience: 3-8 Years