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Salary
$80k – $161k per year (Estimated)
Location
Remote/Hybrid (Berlin, Germany)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
We are the world's leading integrated food solutions provider, operating in 16 geographies with a portfolio of 8 brands that offer meal kits, ready-to-eat meals, and specialty products such as pet food and high-quality meat & seafood. We have built not one but two multi-billion-euro business segments, meal kits and ready-to-eat, proving our ability to scale globally with precision and profit. Our 40 offices & distribution centers are across the world, and we employ around 18,000+ people globally.

About the role: What's in the Box

You'll join HelloFresh's GenAI Enablement Squad, a cross-functional team helping teams across the company unlock the practical value of AI. Our mission is simple: identify high-impact problems, build AI-powered solutions that solve them, and scale what works.

As a Senior Forward Deployed Engineer, you'll work directly with engineering teams and business functions to understand their workflows, identify high-value opportunities, and build AI-powered solutions that solve real operational problems. You'll act as the bridge between users and technology-embedding with teams, rapidly iterating on prototypes, and turning successful ideas into production systems. This is a highly hands-on engineering role. You'll own projects from discovery through deployment, collaborating closely with product managers, engineers, and non-technical stakeholders. You'll thrive in ambiguous environments, moving quickly to validate ideas while maintaining the engineering quality required for production.

You'll join a team that values pragmatism over hype. We use the best tool for the problem-not the newest one-and measure success by the impact our solutions create.

What you’ll do: The Recipe

  • Partner directly with engineering and business teams across HelloFresh to understand their workflows and identify opportunities where AI can create measurable value.
  • Embed with teams to rapidly prototype AI-powered solutions, gather feedback, and iterate based on real user needs.
  • Design, build, deploy, and operate production-grade AI applications, including agents, workflow automations, retrieval systems, and internal tools.
  • Build role-specific AI assistants distributed through our internal plugin marketplace, enabling teams to automate repetitive work and improve productivity.
  • Work across the full lifecycle of AI solutions-from discovery and experimentation to production deployment and continuous improvement.
  • Balance speed with engineering quality, ensuring solutions are reliable, observable, secure, and cost-effective.
  • Collaborate closely with platform engineers to leverage and improve shared AI infrastructure where appropriate.
  • Share learnings and reusable patterns that help accelerate future AI initiatives across the organization.
  • Mentor teammates through collaboration, code reviews, and technical discussions.

What you’ll bring: The Ingredients

  • Experience building and shipping production AI applications using modern LLMs, including agents, RAG, workflow automation, structured generation, and LLM evaluation.
  • Strong software engineering skills with experience designing and operating production systems.
  • Experience working directly with customers or business stakeholders to translate ambiguous problems into practical software solutions.
  • A product mindset with a focus on delivering measurable user and business impact.
  • Ability to rapidly prototype ideas while knowing when to invest in scalability, reliability, and long-term maintainability.
  • Experience with managed AI platforms such as AWS Bedrock, OpenAI, Anthropic, or Google Vertex AI.
  • Strong programming skills in Python or another modern programming language.
  • Excellent communication skills and the ability to collaborate effectively across technical and non-technical audiences.
  • Curiosity, pragmatism, and a bias toward action.

Nice to have

  • Experience building internal developer tools or productivity platforms.
  • Experience evaluating AI systems for quality, latency, and cost.
  • Familiarity with agent frameworks, MCP, tool calling, or workflow orchestration.
  • Experience deploying AI solutions in enterprise environments.
  • Experience measuring adoption and business impact of AI products.

What we offer

  • You’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme.
  • Enjoy savings on your weekly HelloFresh box.
  • Support your mental wellbeing with access to platforms like Headspace and Spill.
  • Stay active with 24/7 office gym access, a discounted Urban Sports Club membership, and other wellbeing resources.
  • Balance your life with our flexible hybrid model.
  • Recharge with sabbatical leave options in addition to standard time off.
  • Embrace "Learning Never Stops" with internal training, the HelloFresh Academy, and a dedicated budget for German language courses.
  • Enjoy tasty in-office meal deals and fresh food options.
  • We support working families with parent-friendly policies, an in-office kids corner, and an on-site babysitter.

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