Intern - Agentic AI systems
Lattice Semiconductor, San Jose, CA, United States
Lattice Overview
There is energy here…energy you can feel crackling at any of our international locations. It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.
Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a “team first” organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you’re looking for.
Responsibilities & Skills
Key Responsibilities
Design and implement agentic AI workflows, including planning, reasoning, tool usage, and memory management
Assist in building multi agent 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
Artificial Intelligence
Strong programming skills in Python
Understanding of:
Basic ML and deep learning concepts
Natural Language Processing (NLP)
Familiarity with:
LLM concepts (prompting, embeddings, context windows)
Software system design fundamentals
Ability to quickly learn new frameworks and tools
Preferred Qualifications (Nice To Have)
Experience with:
Agent frameworks (e.g., LangChain)
Workflow orchestration or state machines
Knowledge of:
Reinforcement learning basics
LLM fine-tuning
Vector and graph databases
Prior internship or project experience in AI/ML systems
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There is energy here…energy you can feel crackling at any of our international locations. It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.
Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a “team first” organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you’re looking for.
Responsibilities & Skills
Key Responsibilities
Design and implement agentic AI workflows, including planning, reasoning, tool usage, and memory management
Assist in building multi agent 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
Artificial Intelligence
Strong programming skills in Python
Understanding of:
Basic ML and deep learning concepts
Natural Language Processing (NLP)
Familiarity with:
LLM concepts (prompting, embeddings, context windows)
Software system design fundamentals
Ability to quickly learn new frameworks and tools
Preferred Qualifications (Nice To Have)
Experience with:
Agent frameworks (e.g., LangChain)
Workflow orchestration or state machines
Knowledge of:
Reinforcement learning basics
LLM fine-tuning
Vector and graph databases
Prior internship or project experience in AI/ML systems
#J-18808-Ljbffr