6 geprüfte KI-Jobs in Integration & Automatisierung für Studium und Praktikum

Aufgaben

Strategic Technical Partnership: Partner with product and design as a technical peer - shaping scope, challenging assumptions, and influencing the roadmap to ensure our strategy solves real user problems. AI & Agentic Architecture: Design and build robust, scalable applications, integrating LLM-driven agents and RAG pipelines capable of carrying out complex workflows autonomously across our entire platform ecosystem. End-to-End Ownership: Own the end-to-end delivery of complex traditional full-stack features and multi-agent AI workflows.

Make high-level architectural decisions that balance speed, scalability, and maintainability, building reusable, user-friendly full-stack components (including conversational and chat-based UI/UX) using Vue.js, Node.js, and MongoDB. Security & Data Integrity: Architect secure data pipelines and robust access management systems to safely handle sensitive employee and company data across our interconnected toolstack. Data-Driven Iteration: Analyze agent performance analytics, workforce insights, and process outcomes to refine features iteratively, ensuring our proactive triggers and nudges provide genuine business ROI.

Engineering Excellence & Mentorship: Ensure high-quality, reliable releases by contributing to robust testing, monitoring, and code review processes, while pioneering dedicated AI evaluation suites (evals), strict schemas for tool calling, and human-in-the-loop safety fallbacks. Drive organizational learning by providing mentorship and codifying standard engineering and AI patterns into the codebase. What is the technology stack?

Frontend: Vue.js, TailwindCSS, and a modern design system for a consistent, intuitive user experience Backend: Node.js (TypeScript) with Express, MongoDB, and NATS, built for scalability and modularity AI/LLMs: State-of-the-art models (e.g., from OpenAI, Anthropic) and frameworks like LangChain and LangGraph for stateful agent orchestration; implementation of advanced RAG architectures, vector databases, and observability tools (e.g., LangSmith) AI Developer Tooling: Extensive use of AI tools such as Cursor, CodeRabbit, and Deep Research to accelerate learning, automate repetitive tasks, and rapidly prototype and iterate on solutions Infrastructure & Testing: Docker and AWS; automated testing using Playwright, Vitest, Mocha/Chai, alongside dedicated AI evaluation frameworks (LLM-as-a-judge) Analytics & Collaboration: Mixpanel, Sentry, Datadog, GitHub, Notion, and async communication tools for transparent teamwork You’ll be a good fit if you: Core Engineering & Product Leadership Product Mindset: You share our belief that engineering is a product-focused discipline, and you re passionate about solving user problems with impactful, scalable solutions. Proven Leadership: You have significant experience leading end-to-end product development, previously operating as a tech lead, founding engineer, or senior IC at a high-growth company. Technical Anchor: You have a track record of making architectural decisions that shape product outcomes and establish engineering systems where your contributions make future work easier for the whole team.

Strategic Peer: You are comfortable pushing back on product specs when technical constraints or user experience concerns warrant it. Full-Stack & Systems Expertise Modern Stack Mastery: You operate confidently as a full-stack engineer with deep expertise in modern web frameworks (e.g., Vue.js, React) and backend technologies (Node.js, MongoDB). Secure Architecture: You understand how to build secure access management for enterprise data.

Modular Design: You have experience with design systems and building user-friendly, modular components. AI-Native Development Production AI Experience: You have proven, hands-on experience building and shipping both standard web applications and LLM-powered applications (multi-agent orchestration, RAG pipelines) to production . AI Productivity: You have established experience utilizing modern AI coding assistants (e.g., Cursor, Claude Code) and AI-driven code review tools (e.g., CodeRabbit) as a core force multiplier in your daily software development lifecycle.

Total Ownership: You own every line that ships. AI is a collaborator, but you are the accountable engineer - you critically review, debug, and defend decisions from first principles, whether the code was written by you or generated by AI. Culture & Execution Pragmatic Excellence: You value high-impact work over high-volume work - balancing high standards with efficient, intentional delivery.

Empowered Autonomy: You thrive when trusted to make decisions close to the work, and you extend that same trust to those around you. Mentorship: You enjoy mentoring teammates and fostering a collaborative engineering culture where knowledge compounds across the team, not just in individual heads.

Das wird geboten

Learning and development: Grow your skills with a €2,000 yearly development budget and full access to the Good Habitz platform. Work-from-home stipend: A one-time €1,000 stipend to set up your home workspace. Competitive pay and equity: Competitive salary plus a pre-IPO equity package, so you share in the company s growth. Corporate

: Exclusive discounts and deals from our partner network. Vacation: 30 vacation days a year plus public holidays, with the option to upgrade to 40 days at adjusted pay. After 5 years at Leapsome, take a month-long paid sabbatical. Wellness

: Stay active with a fully sponsored Urban Sports Club M membership, and support your mental health with an Oliva subscription that includes 1:1 therapy sessions, plus company workshops on mindfulness and digital wellness. Hybrid and flexible work: Spend 2 days a week with the team in our Berlin office, Tuesdays and Thursdays. Impact: Join a fast-growing HR platform trusted by more than 2,000 companies worldwide: you ll help shape how companies run HR and grow their people in one connected system. Culture: A diverse, international team that values open feedback and celebrates wins, big and small. Sponsored lunch: Lunch is on us every Tuesday and Thursday. Work from anywhere: Work from a different location for up to 2 months a year. Monthly team activities: Join Feierabend, a monthly budget to get-together in Berlin — hosted by employees, for employees. This role is based in Berlin and the salary range for this position is dependent on the level in which we recruit this role: Lead: €110,000 - €130,000 + Bonus + Equity. Staff: €130,000 - €165,000 + Bonus + Equity. View our full compensation framework here. Leapsome aims to pay generously and fairly. If the listed range isn’t working for your situation, please tell us early in the process, we’d rather have that conversation than lose a great candidate over a number we may be able to address. If your role or skillset isn’t covered in our compensation framework, it’s likely because we haven’t hired enough in that area yet. We’ll build a data-backed range before we make you an offer, and we’ll share our thinking with you as early as we can. This note is published for transparency. It reflects our compensation philosophy as of June 2026 and describes our general global approach — it is not a contract, offer, or entitlement to any salary, increase, or bonus, and may change at any time. Individual compensation is always governed solely by your written employment agreement and applicable local law.

Zur Position

Your Opportunity: Join a small and impactful engineering team that’s reshaping the future of work by building one people platform for high-performing companies. At Leapsome, our purpose is to make work fulfilling for everyone, helping companies create environments where people can achieve shared goals, build authentic relationships, learn, and grow together. We align product, engineering, and people in a single AI-powered HR platform, built to support fast-growing teams from startup to scale.

We empower product engineers to take ownership of their work, contributing to the full lifecycle of our features, from ideation and discovery to development and iteration. As a Lead/Staff Product Engineer, you will be a technical anchor for the team. You will help transition our platform from reactive tools to proactive workflows across the entire employee lifecycle.

Guided by our vision, you will design intelligent systems that tap into user context across an interconnected tool stack to deliver a variety of features, AI and non-AI supported. You will build foundational context layers, robust security architecture, and autonomous agents that orchestrate complex processes, setting the standard for how humans and AI collaborate within our unified platform.