#Machine Learning Engineer - Generative AI

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General Summary:

*** This position is not eligible for Qualcomm immigration sponsorship.***

We are seeking an experienced Machine Learning Engineer specializing in Agentic AI to join our Core Enterprise AI team. The ideal candidate will design, develop, and deploy next-generation AI systems powered by Large Language Models (LLMs), Agentic AI, Hybrid AI architectures, Retrieval-Augmented Generation (RAG), and autonomous intelligent agents. This role focuses on building enterprise-grade AI solutions capable of reasoning, planning, tool usage, workflow orchestration, and autonomous task execution.

Key Responsibilities

• Design and implement Agentic AI systems capable of autonomous reasoning, planning, tool usage, and multi-step execution to solve complex enterprise problems.
• Build and optimize RAG, Hybrid AI, and knowledge-grounded architectures that augment LLMs with enterprise data, external tools, and domain-specific context.
• Develop and advance self-improving AI agents leveraging feedback loops, reflection, reinforcement learning techniques, automated evaluations, memory systems, and continuous learning frameworks.
• Research, develop, and apply LLM post-training techniques, including supervised fine-tuning (SFT), preference optimization, reinforcement learning, distillation, and domain adaptation to improve model performance for enterprise use cases.
• Create robust evaluation, benchmarking, observability, and safety frameworks for measuring agent quality, reliability, efficiency, and business impact.
• Build and maintain multi-agent systems and orchestration frameworks that enable collaborative agent workflows and intelligent task automation.
• Collaborate with cross-functional teams to identify high-value opportunities and deliver scalable AI solutions that drive measurable business outcomes.
• Stay at the forefront of advancements in Agentic AI, reasoning models, post-training, model routing, autonomous agents, and enterprise AI architectures, bringing innovative solutions into production.

Minimum Qualifications:

Preferred Qualifications:

• Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)

• Knowledge of prompt engineering and chain-of-thought techniques

• Experience with containerization and microservices architecture

• Background in Reinforcement Learning

• Contributions to open-source AI projects

• Experience with ML ops and model deployment pipelines

Skills and Competencies:

• Strong programming skills in Python and experience with ML frameworks (PyTorch, 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 (AWS, GCP, Azure)

• Strong understanding of RAG architectures and implementation

• 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

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Pay rangeand Other Compensation & Benefits :

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.