Mobileye is looking for a talented Senior Full-Stack Platform Engineer to join a our "Enterprise AI Enablement" team.
In this role, you will combine hands-on full-stack engineering, platform ownership, product thinking, and technical leadership in agent-led development. You will own solutions end-to-end, from understanding user needs and shaping the experience to architecture, UX/UI, frontend, backend, data modeling, integrations, deployment, and production operation.
You will also help lead how we adopt agentic development, continuously evaluating emerging models, tools, and engineering practices and turning them into effective, reliable development workflows.
What will your job look like?
- Own and evolve complex products end-to-end, from requirements and user experience through implementation and production.
- Design and develop scalable full-stack solutions, including frontend applications, backend services, APIs, data models, integrations, and asynchronous workflows.
- Lead the adoption of agent-led development across discovery, design, implementation, testing, review, and delivery.
- Evaluate and apply evolving AI models, coding agents, agentic workflows, tool calling, context management, and orchestration techniques.
- Translate complex business and technical needs into intuitive, reliable, and maintainable products.
- Drive architectural decisions around scalability, reliability, security, authorization, data integrity, and failure recovery.
- Maintain and improve production systems while collaborating with users, engineers, and cross-functional stakeholders
All you need is:
- B.Sc. in Computer Science, Software Engineering, Information Systems, or a related field—or equivalent practical experience.
- 5+ years of hands-on experience developing complex, production-grade full-stack systems.
- Strong experience with TypeScript, Node.js, React, SQL, API development, and modern web architecture.
- Proven ability to own products and technical solutions end-to-end, including UX/UI, backend, frontend, data, integrations, and production operation.
- Strong product mindset and the ability to turn complex workflows into clear, practical user experiences.
- Deep practical understanding of Large Language Models, coding agents, agentic workflows, tool use, context management, and AI-assisted software development.
- Demonstrated technical leadership in adopting and scaling agent-led development practices.
- Strong system-design and troubleshooting skills across applications, databases, infrastructure, and external services.
- Independent, hands-on, and highly motivated, with excellent communication and collaboration skills.
- Fluent in English.
- Experience with Next.js, Python, PostgreSQL, Redis, Kubernetes, Docker, and CI/CD.
- Experience building or operating production LLM applications and agent orchestration systems.
- Familiarity with Model Context Protocol, retrieval-augmented generation, AI evaluation, and observability.
- Experience integrating enterprise services, identity systems, and external APIs.
Skills Required
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience
- 5+ years of hands-on experience developing complex, production-grade full-stack systems
- Strong experience with TypeScript, Node.js, React, SQL, API development, and modern web architecture
- Experience owning products and technical solutions end to end across UX/UI, backend, frontend, data, integrations, and production operations
- Strong product mindset and ability to translate complex workflows into practical user experiences
- Practical understanding of Large Language Models, coding agents, agentic workflows, tool use, context management, and AI-assisted software development
- Technical leadership in adopting and scaling agent-led development practices
- Strong system design and troubleshooting skills across applications, databases, infrastructure, and external services
- Independent, hands-on, highly motivated, with excellent communication and collaboration skills
- Fluent in English
- Experience with Next.js, Python, PostgreSQL, Redis, Kubernetes, Docker, and CI/CD
- Experience building or operating production LLM applications and agent orchestration systems
- Familiarity with Model Context Protocol, retrieval-augmented generation, AI evaluation, and observability
- Experience integrating enterprise services, identity systems, and external APIs
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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