Machine Learning Engineer - Generative AI
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
Qualcomm is seeking an experienced Machine Learning Engineer specializing in Agentic AI to design, develop, and deploy next-generation AI systems. This role focuses on building enterprise-grade AI solutions with LLMs, Agentic AI, RAG, and autonomous intelligent agents, capable of reasoning, planning, and autonomous task execution.
Responsibilities
- Design and implement Agentic AI systems capable of autonomous reasoning, planning, tool usage, and multi-step execution.
- Build and optimize RAG, Hybrid AI, and knowledge-grounded architectures.
- Develop and advance self-improving AI agents leveraging feedback loops, reflection, and reinforcement learning techniques.
- Research, develop, and apply LLM post-training techniques.
- Create robust evaluation, benchmarking, observability, and safety frameworks for agent performance.
- Build and maintain multi-agent systems and orchestration frameworks.
- Collaborate with cross-functional teams to deliver scalable AI solutions.
- Stay at the forefront of advancements in Agentic AI, reasoning models, and enterprise AI architectures.
Requirements
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- Strong programming skills in Python.
- 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.
- Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers).
- Knowledge of prompt engineering and chain-of-thought techniques.
- Background in Reinforcement Learning.
Desired Qualifications
- Experience with containerization and microservices architecture.
- Contributions to open-source AI projects.
- Experience with ML ops and model deployment pipelines.
- 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.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Highly competitive benefits package designed to support success at work, at home, and at play.
- Competitive salary range of $114,500.00 - $171,700.00.
Skills
PythonPyTorchTensorFlowLangchainLlamaIndexTransformersAWSGCPAzureAlgorithmsArtificial IntelligenceMachine Learning
#Generative AI#Agentic AI#LLM#Hybrid AI#RAG#Autonomous Agents
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
1 week ago
Employment Type
Full Time
Work mode
On Site
Salary
US$114,500–171,700 / year
Experience Level
Mid-Senior
Locations
San Diego, United States of America
Qualification
Bachelor
Applicants
Be an early applicant
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