Qualcomm
#Machine Learning Engineer – Agentic AI
$114K–$172K
San Diego, California · On-site · Full-time · Posted Sep 23, 2026
- Education
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- Visa sponsorship
- Not eligible for Qualcomm immigration sponsorship.
About the job
Designs, develops, and deploys enterprise AI systems using LLMs, agentic workflows, and knowledge-grounded architectures to automate complex tasks.
What you'll do
- Build agentic and multi-agent systems that reason, plan, use tools, and execute workflows.
- Develop RAG and hybrid AI architectures, and improve agents through feedback, evaluation, and learning techniques.
- Apply LLM post-training methods and create frameworks for evaluation, observability, and safety.
What they ask for
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
- Strong Python programming skills and experience with PyTorch or TensorFlow.
- Practical experience with LLM deployment and fine-tuning.
- Experience with vector databases, embedding models, and RAG architectures.
Nice to have
- Experience with Langchain, LlamaIndex, or Transformers.
- Background in Reinforcement Learning.
Pay
$114,500.00 - $171,700.00 USD base salary
Tools
Python, PyTorch, TensorFlow, Langchain, LlamaIndex, Transformers, AWS, GCP
AI focus
Build enterprise agentic AI, RAG and hybrid AI systems; develop self-improving agents, multi-agent orchestration, LLM post-training, and evaluation, observability, and safety frameworks.
Model-written summary · the original posting is authoritative