Machine Learning Engineer - Generative AI

General Summary We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. The ideal candidate will be responsible for designing, developing, and deploying cutting‑edge generative AI solutions, with a focus 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 Minimum Qualifications Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. Required Qualifications Bachelor's or Master's degree in Computer Science, or related technical field 3+ years of experience in Machine Learning/AI engineering 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 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 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 Equal Opportunity Employment 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 View email address on click.appcast.io or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Compensation & Benefits Pay range: $104,000.00 - $156,000.00. In addition to base pay, this role offers discretionary bonus, RSU grants, and a competitive benefits package. For more details, please contact Qualcomm Careers. #J-18808-Ljbffr Qualcomm