AI Algorithm Engineer

Intel•Folsom, CA

1d•Hybrid

About The Position

Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. The Ai Algorithm Engineer: Designs and builds generative AI agents and AI platforms leveraging both local and cloud-based large language models (LLMs). Develops AI-powered products and solutions that enable intelligent reasoning, automation, and human-AI interaction for real-world use cases. Builds and integrates GenAI systems using local LLMs and cloud-hosted LLM services, focusing on agent orchestration, tool usage, retrieval-augmented workflows, and system-level optimization. Collaborates closely with users and stakeholders to define requirements and deliver impactful AI solutions. Translates AI agent logic, LLM workflows, and data pipelines into production-quality software using modern programming practices. Responsible for end-to-end development, including implementation, testing, debugging, documentation, and deployment of AI services, tools, and platforms.

Requirements

Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
3+ months experience with C++
3+ months experience with Python.

Nice To Haves

Experience with frameworks and ecosystems such as LangChain, LlamaIndex, AutoGen, Hugging Face, and related APIs.
Knowledge of Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Chroma), and embedding-based search.
Experience with prompt engineering and/or UX/UI considerations to improve human-AI interaction.
Familiarity with deploying, scaling, and optimizing AI agent platforms across local and cloud environments.
Familiarity with building simple AI agents, chatbots, or LLM-based applications via academic or personal projects.
Interest in AI agents, GenAI platforms, and real-world AI applications.
Strong problem-solving skills and willingness to learn new technologies.
Good communication skills and ability to work in a team environment.
Qualification requirements may be met through academic coursework, community projects, or on-the-job experience.

Responsibilities

Designs and builds generative AI agents and AI platforms leveraging both local and cloud-based large language models (LLMs).
Develops AI-powered products and solutions that enable intelligent reasoning, automation, and human-AI interaction for real-world use cases.
Builds and integrates GenAI systems using local LLMs and cloud-hosted LLM services, focusing on agent orchestration, tool usage, retrieval-augmented workflows, and system-level optimization.
Collaborates closely with users and stakeholders to define requirements and deliver impactful AI solutions.
Translates AI agent logic, LLM workflows, and data pipelines into production-quality software using modern programming practices.
Responsible for end-to-end development, including implementation, testing, debugging, documentation, and deployment of AI services, tools, and platforms.