AI Algorithm Engineer
Role details
Job location
Tech stack
Job description
- 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., This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
Requirements
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
- 3+ months experience with C++ 3+ months experience with Python., * 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.
Benefits & conditions
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel (https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003) .
Annual Salary Range for jobs which could be performed in the US: $118,850.00-188,340.00 USD