Senior Forward Deployed Engineer, Intelligent Platforms Alliance

About the role

<h2>About the role: What's in the Box</h2> <p>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.</p> <p>As a <strong>Senior Forward Deployed Engineer</strong>, 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. The listing location is Berlin, Berlin, Germany.

Key facts

What you'll do

• <h2>About the role: What's in the Box</h2> <p>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.</p> <p>As a <strong>Senior Forward Deployed Engineer</strong>, 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.</p> <p>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.</p> <h2><strong>What you'll do: The Recipe</strong></h2> <ul> <li>Partner directly with engineering and business teams across HelloFresh to understand their workflows and identify opportunities where AI can create measurable value.</li> <li>Embed with teams to rapidly prototype AI-powered solutions, gather feedback, and iterate based on real user needs.</li> <li>Design, build, deploy, and operate production-grade AI applications, including agents, workflow automations, retrieval systems, and internal tools.</li> <li>Build role-specific AI assistants distributed through our internal plugin marketplace, enabling teams to automate repetitive work and improve productivity.</li> <li>Work across the full lifecycle of AI solutions - from discovery and experimentation to production deployment and continuous improvement.</li> <li>Balance speed with engineering quality, ensuring solutions are reliable, observable, secure, and cost-effective.</li> <li>Collaborate closely with platform engineers to leverage and improve shared AI infrastructure where appropriate.</li> <li>Share learnings and reusable patterns that help accelerate future AI initiatives across the organization.</li> <li>Mentor teammates through collaboration, code reviews, and technical discussions.</li> </ul> <h2><strong>What you'll bring: The Ingredients </strong></h2> <ul> <li>Experience building and shipping production AI applications using modern LLMs, including agents, RAG, workflow automation, structured generation, and LLM evaluation.</li> <li>Strong software engineering skills with experience designing and operating production systems.</li> <li>Experience working directly with customers or business stakeholders to translate ambiguous problems into practical software solutions.</li> <li>A product mindset with a focus on delivering measurable user and business impact.</li> <li>Ability to rapidly prototype ideas while knowing when to invest in scalability, reliability, and long-term maintainability.</li> <li>Experience with managed AI platforms such as AWS Bedrock, OpenAI, Anthropic, or Google Vertex AI.</li> <li>Strong programming skills in Python or another modern programming language.</li> <li>Excellent communication skills and the ability to collaborate effectively across technical and non-technical audiences.</li> <li>Curiosity, pragmatism, and a bias toward action.</li> </ul> <h3><strong>Nice to have</strong></h3> <ul> <li>Experience building internal developer tools or productivity platforms.</li> <li>Experience evaluating AI systems for quality, latency, and cost.</li> <li>Familiarity with agent frameworks, MCP, tool calling, or workflow orchestration.</li> <li>Experience deploying AI solutions in enterprise environments.</li> <li>Experience measuring adoption and business impact of AI products.</li> </ul> <h2><strong>What we offer</strong></h2> <ul> <li>You'll receive a competitive salary package, including a HelloFresh-subsidized pension scheme.</li> <li>Enjoy savings on your weekly HelloFresh box.</li> <li>Support your mental wellbeing with access to platforms like Headspace and Spill.</li> <li>Stay active with 24/7 office gym access, a discounted Urban Sports Club membership, and other wellbe

Requirements

• You'll thrive in ambiguous environments, moving quickly to validate ideas while maintaining the engineering quality required for production.</p> <p>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.</p> <h2><strong>What you'll do: The Recipe</strong></h2> <ul> <li>Partner directly with engineering and business teams across HelloFresh to understand their workflows and identify opportunities where AI can create measurable value.</li> <li>Embed with teams to rapidly prototype AI-powered solutions, gather feedback, and iterate based on real user needs.</li> <li>Design, build, deploy, and operate production-grade AI applications, including agents, workflow automations, retrieval systems, and internal tools.</li> <li>Build role-specific AI assistants distributed through our internal plugin marketplace, enabling teams to automate repetitive work and improve productivity.</li> <li>Work across the full lifecycle of AI solutions - from discovery and experimentation to production deployment and continuous improvement.</li> <li>Balance speed with engineering quality, ensuring solutions are reliable, observable, secure, and cost-effective.</li> <li>Collaborate closely with platform engineers to leverage and improve shared AI infrastructure where appropriate.</li> <li>Share learnings and reusable patterns that help accelerate future AI initiatives across the organization.</li> <li>Mentor teammates through collaboration, code reviews, and technical discussions.</li> </ul> <h2><strong>What you'll bring: The Ingredients </strong></h2> <ul> <li>Experience building and shipping production AI applications using modern LLMs, including agents, RAG, workflow automation, structured generation, and LLM evaluation.</li> <li>Strong software engineering skills with experience designing and operating production systems.</li> <li>Experience working directly with customers or business stakeholders to translate ambiguous problems into practical software solutions.</li> <li>A product mindset with a focus on delivering measurable user and business impact.</li> <li>Ability to rapidly prototype ideas while knowing when to invest in scalability, reliability, and long-term maintainability.</li> <li>Experience with managed AI platforms such as AWS Bedrock, OpenAI, Anthropic, or Google Vertex AI.</li> <li>Strong programming skills in Python or another modern programming language.</li> <li>Excellent communication skills and the ability to collaborate effectively across technical and non-technical audiences.</li> <li>Curiosity, pragmatism, and a bias toward action.</li> </ul> <h3><strong>Nice to have</strong></h3> <ul> <li>Experience building internal developer tools or productivity platforms.</li> <li>Experience evaluating AI systems for quality, latency, and cost.</li> <li>Familiarity with agent frameworks, MCP, tool calling, or workflow orchestration.</li> <li>Experience deploying AI solutions in enterprise environments.</li> <li>Experience measuring adoption and business impact of AI products.</li> </ul> <h2><strong>What we offer</strong></h2> <ul> <li>You'll receive a competitive salary package, including a HelloFresh-subsidized pension scheme.</li> <li>Enjoy savings on your weekly HelloFresh box.</li> <li>Support your mental wellbeing with access to platforms like Headspace and Spill.</li> <li>Stay active with 24/7 office gym access, a discounted Urban Sports Club membership, and other wellbe

About HelloFresh

HelloFresh builds and ships meal kits from its kitchens in cities across Europe, North America, Australia, and New Zealand. Crew members work in production, packaging, logistics, and customer care, following food safety routines and quality checks.

Teams coordinate schedules, adjust recipes for local needs, and use digital tools to manage throughput. Roles require reliability, clear communication, and attention to detail as teams keep deliveries consistent and accurate.

Building software is iterative. You ship a slice, measure it, and correct course. Code review, pairing, and written design notes are how teams keep quality from depending on one person. The What you will do section is limited to this posting. The paragraphs here describe the craft, not extra assignments invented for length.

About the location

The posting places this role in Berlin, Berlin, Germany. Local hiring markets vary in interview pace and compensation bands. Location copy is here so readers understand the geography attached to the title.