Agentic AI Engineer: LLMs, RAG & Autonomous Agents

QUALCOMM, Inc.; San Diego (CA); On-site; USD 115,000 - 172,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks an experienced Machine Learning Engineer specializing in Agentic AI to join our Core Enterprise AI team in a fast-paced enterprise environment.

You will design, develop, and deploy next-generation AI systems powered by LLMs, agentic AI, and retrieval-augmented architectures. You will build multi-agent orchestration frameworks, enable autonomous task execution, and collaborate with cross-functional teams to deliver scalable AI solutions with measurable business

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• Experience with popular LLM frameworks (LangChain, LlamaIndex, Transformers).
• Knowledge of prompt engineering and chain-of-thought techniques.
• Experience with containerization and microservices architecture.

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 with enterprise data and tools.
• Develop self-improving AI agents using feedback loops, memory, and reinforcement learning techniques.
• Research post-training techniques (SFT, RL, distillation, domain adaptation) for enterprise use cases.
• Create evaluation, observability, and safety frameworks to measure agent quality and business impact.
• Collaborate with cross-functional teams to deliver scalable AI solutions delivering measurable outcomes.

Skills

Python

ML frameworks

LLM deployments

LangChain

Prompt engineering

Vector databases

Cloud platforms

Containerization

RAG

Multi-agent systems

Education

Bachelor's degree in CS/EE

Tools

Docker

Kubernetes

PyTorch

TensorFlow

AWS/GCP/Azure

Job description

Qualcomm Technologies, Inc. seeks an experienced Machine Learning Engineer specializing in Agentic AI to join our Core Enterprise AI team in a fast-paced enterprise environment.

You will design, develop, and deploy next-generation AI systems powered by LLMs, agentic AI, and retrieval-augmented architectures. You will build multi-agent orchestration frameworks, enable autonomous task execution, and collaborate with cross-functional teams to deliver scalable AI solutions with measurable business