Staff / Senior Applied AI Engineer - People & Culture at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

06 Aug, 26

Salary

0.0

Posted On

08 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Prompt Engineering, LLM Application Development, Agent Architecture, System Design, Responsible AI, Data Governance, Technical Leadership, Stakeholder Management, Code Review, Architecture Design, Upskilling, Bias Mitigation, Output Validation, Grounding, People Analytics

Industry

technology;Information and Internet

Description

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on the lookout for a Staff/Senior Applied AI Engineer to join the People & Culture (P&C) team on our journey to always deliver amazing experiences. This is not a narrowly defined engineering role, nor a pure product role — it sits deliberately at the intersection of both. You will work alongside our People Analytics team, P&C CoEs (centre of excellence), other stakeholders, data engineers, and software engineers to design, build, and scale AI solutions that meaningfully improve how we attract, develop, and retain talent across the organisation. You will be the go-to technical expert within P&C - identifying opportunities, shaping solutions, and driving execution end to end. If you thrive in a narrow lane, this is not the right role. If you thrive on context-switching, ownership, and building from the ground up, we want to hear from you. Technical collaboration: Work hands-on alongside engineers on system design, integration, and technical decision-making. You don't need to be a full-stack engineer, but you should be able to get into the details, review code, participate meaningfully in architecture discussions, and drive technical solutions end to end. AI engineering: Own the full AI engineering lifecycle — prompt design, agent architecture, business context grounding, safeguards, and output validation. Hold a high bar for quality: the agents, gems, and prompts we build should be best-in-class, not just functional. Ensure that what gets built is reliable, explainable, and genuinely fit for a P&C context (sensitive data, bias considerations, trust). Delivery and technical ownership: You will own outcomes, not just outputs. Set technical milestones, manage stakeholder alignment, track delivery, and push solutions through to completion — proactively, not reactively. Capability building: Train and upskill data analysts and business users on AI tools, patterns, and practices. Multiply your impact beyond what you can build alone. This includes structured enablement sessions, documentation, and ongoing coaching. Qualifications Proven experience designing and building AI/ML solutions in production — prompt engineering, LLM application development, agent frameworks, or similar. Comfortable operating in technical environments: can read and review code, contribute to architecture decisions, and drive implementation alongside engineers. Strong ownership mindset. You have driven projects from ambiguity through to delivery without needing someone else to manage the roadmap. Experience with responsible AI practices — output validation, bias awareness, guardrails, grounding, and data governance — ideally in a context where trust and sensitivity matter. Effective communicator and influencer across technical and non-technical audiences. You can translate between engineers, analysts, and HR leadership without losing fidelity in either direction. Experience upskilling or enabling non-technical users on data or AI tools. Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week We offer 27 days holiday with an extra day on 2nd and 3rd year of service We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected]. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Responsibilities

Design, build, and scale AI solutions to improve talent attraction, development, and retention within the People & Culture team. The role involves owning the full AI engineering lifecycle and upskilling non-technical users on AI tools and practices.