Lattice Semiconductor→
Intern - Agentic AI systems at Lattice Semiconductor in San Jose, CA
InternshipOn-siteSan Jose, CA
Skills
agentic ai workflowsmultiagent systemslarge language models (llms)prompt engineeringpython programmingmachine learningdeep learningnatural language processing (nlp)software system designagent frameworksworkflow orchestrationreinforcement learningllm fine-tuningvector databasesgraph databases
Job Description
Summary: Lattice Semiconductor is a worldwide community of engineers and designers focused on developing programmable logic solutions. They are seeking an intern to design and implement agentic AI workflows, assist in building multiagent systems, and prototype agent pipelines using LLMs and prompt engineering techniques.
Responsibilities:
- Design and implement agentic AI workflows, including planning, reasoning, tool usage, and memory management
- Assist in building multiagent systems and agent orchestration flows
- Prototype agent pipelines using LLMs and prompt engineering techniques
- Evaluate agent behavior, performance, reliability, and failure modes
- Contribute to system documentation, design notes, and technical reports
- Collaborate with engineers to improve system robustness, scalability, and observability
Required Qualifications:
- Currently pursuing a Master's, or PhD in Computer Science
- Currently pursuing a Master's, or PhD in Artificial Intelligence
- Strong programming skills in Python
- Understanding of Basic ML and deep learning concepts
- Understanding of Natural Language Processing (NLP)
- Familiarity with LLM concepts (prompting, embeddings, context windows)
- Familiarity with Software system design fundamentals
- Ability to quickly learn new frameworks and tools
Preferred Qualifications:
- Experience with Agent frameworks (e.g., LangChain)
- Experience with Workflow orchestration or state machines
- Knowledge of Reinforcement learning basics
- Knowledge of LLM fine-tuning
- Knowledge of Vector and graph databases
- Prior internship or project experience in AI/ML systems
Required Skills: Agentic AI workflows, Multiagent systems, Large Language Models (LLMs), Prompt engineering, Python programming, Machine learning, Deep learning, Natural Language Processing (NLP), Software system design, Agent frameworks, Workflow orchestration, Reinforcement learning, LLM fine-tuning, Vector databases, Graph databases