Applied AI Engineer - Temporary Position

Mobileye is looking for an Applied AI Engineer to join the MECI Interfaces team within the Software Engineering organization. The MECI Group enables Mobileye’s algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow Mobileye to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being.

As an Applied AI Engineer, you will be at the forefront of integrating Large Language Models (LLMs) and agentic workflows into our internal platforms. Your primary goal will be to solve complex problems across the Software Development Life Cycle (SDLC) by building intuitive, AI-powered tools that directly support our developers and internal users. This role offers the unique opportunity to both expand the intelligence of our existing developer tools and architect entirely new workflows from the ground up in a highly technical, fast-paced environment.

What will your job look like?
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for Mobileye developers
Expand the capabilities of existing platforms by embedding smart, context-aware LLM features
Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them
Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG)
Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves
All you need is:
B.Sc. in Computer Science, Software Engineering, or a related technical field
4+ years of hands-on software engineering experience, with a strong focus on Python development
Proven experience building and deploying production LLM applications, including agentic workflows, tool calling, and context management
Nice to Have:
Deep understanding of CI/CD pipelines, DevOps practices, and automated build/test systems
Experience with cloud infrastructure and modern deployment architectures
Familiarity with Git and GitLab, backed by practical experience in automating developer workflows

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.