AI Algorithm Engineer

Intel Corporation•Santa Clara, CA

3d•$118,850 - $188,340•Hybrid

About The Position

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.