AI Engineer, Agentic AI Engineer

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Vercel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

☁️ SaaS

🌐 Web 3

💰 $150M Series D on 2021-11

SaaS • Web 3 • Cloud Computing

Vercel is a platform providing developer tools and cloud infrastructure to build, scale, and secure faster and more personalized web applications. It specializes in optimizing web performance through features like fast load times, scalable infrastructure, and global CDN distribution. The platform supports developers with automated workflows, a wide range of templates, and seamless integration with tools like Git for quick deployment. Vercel also emphasizes observability and security, offering privacy-friendly analytics and enterprise-level conformance.

📋 Description

• As an AI Engineer (m/f/d) you don’t just write notebooks and prompts — you build production-grade GenAI systems: agents, RAG pipelines, and LLM-driven workflows. • You work in cross-functional, agile teams on client projects and engage with the entire modern GenAI stack. • Together with your team you advise clients on use-case identification, architectural decisions, effort estimation, and the selection of appropriate delivery models. • You analyze client requirements, design and implement agent-based solutions and RAG pipelines over enterprise data, and ensure clear, high-quality documentation. • You leverage modern, automated approaches and AI-native developer workflows to optimize code and deliver innovative solutions.

🎯 Requirements

• Good to native German language skills are MANDATORY, as we work closely with clients in the DACH region. • You hold an M.Sc. (or equivalent) in Artificial Intelligence, Computer Science, Data Science, Statistics, Mathematics, Physics, or a related natural/engineering discipline. • A completed degree with solid foundations in statistics, machine learning, and software engineering is required for this role. • If you’ve been generating code with AI assistants for a few months but don’t understand the fundamentals behind it (statistics, ML theory, data structures, software architecture), this role is not the right fit. • We cannot consider applications without a relevant degree and verifiable, several years of data science/ML practice. • You are a team player, value open communication, enjoy learning from others, and actively share your knowledge.

🏖️ Benefits

• Remote or in-office — you decide how and where you work, provided this is coordinated with your project and team. • Default is remote; on-site days at the client as needed (typically every two weeks). • OffProject Time — while most of your time is spent on client projects, approximately 20% of your working time is reserved for training, research, open-source contributions, conference talks, community engagement, or internal AI initiatives. • You’ll work across a variety of projects and clients in finance, insurance, the public sector, and industry, operating in a self-organized and responsible manner. • You choose your full hardware setup including the OS — private use is permitted. • Plus a dedicated AI tooling budget.