About the company
HelloFresh's GenAI Enablement Squad is a cross-functional team helping teams across the company unlock the practical value of AI. As a Senior Forward Deployed Engineer, you'll work directly with engineering teams and business functions to build AI-powered solutions.
Responsibilities
- Partner directly with engineering and business teams to understand workflows and identify opportunities where AI can create measurable value.
- Embed with teams to rapidly prototype AI-powered solutions, gather feedback, and iterate.
- 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 internal plugin marketplace.
- Work across the full lifecycle of AI solutions.
- Balance speed with engineering quality.
- Collaborate closely with platform engineers.
- Share learnings and reusable patterns.
- Mentor teammates through collaboration, code reviews, and technical discussions.
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.
- Product mindset.
- Ability to rapidly prototype while knowing when to invest in scalability.
- 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.
- 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.
Conditions
- Global collaboration at scale.
- Technology with real-world impact.
- Technical/Product/Design leadership.
- Access to workspace at Warsaw Centre Point with modern facilities.