Senior AI Solutions Engineer, GenAI Enablement

About the role

You will join HelloFresh's GenAI Enablement Squad as a senior technical contributor focused on driving practical AI adoption across the organization. The role centers on identifying high-value operational problems and converting them into working AI prototypes and production systems. You will act as a technical consultant and builder, embedding within cross-functional teams to understand complex workflows and design tailored AI solutions. A core part of this position involves transitioning successful experiments into robust, scalable applications that deliver measurable business impact. You will own the full project lifecycle, balancing rapid experimentation with the engineering discipline required for reliable production deployments. The position requires fluency in navigating ambiguous requirements and translating them into technical approaches that create real value. You will work closely with diverse stakeholders to ensure solutions are not only technically sound but also aligned with user needs and business goals.

Key facts

What you'll do

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.

Champion pragmatic technology choices, using the best tool for the problem rather than the newest available option.

Contribute to defining standards and best practices for AI development and deployment within the organization.

Drive the measurement of solution effectiveness to validate business impact and guide future iterations.

Requirements

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.

Practical notes

You will 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.

Additional benefits include paid time off, parental leave, and a contribution to your public transport costs if you commute from home to the office in Berlin.

This role is based in Berlin, Germany, and is eligible for the standard relocation package if relocating from outside Berlin.

The work location is fixed to our office in Berlin, with no remote work options available for this position.

Candidates must be authorized to work in Germany without restrictions.

Fluency in German is not required for this role, but it may be beneficial for collaborating with local teams.