Senior Engineer/Engineer – Enterprise Gen AI

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General 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.

Join the team building Qualcomm’s Enterprise-Grade Generative AI Platform. We are at the forefront of the AI revolution, developing State-of-the-Art (SOTA) agentic applications designed to hyper-charge productivity across all Qualcomm business units.

Our mission extends beyond internal tools; we are building a robust infrastructure by exposing Model SDKs, Frameworks, and Application APIs that empower other teams to build their own custom AI solutions. We operate at scale, solving complex challenges related to ultra-low latency, high-throughput scalability, and the seamless orchestration of on-premises and cloud-based data systems.

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 Language such as C, C++, Java, Python, etc.

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

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; Masters with ML specialization preferred.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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