[TECH] Senior Forward Deployed Engineer [INTELLIGENT PLATFORMS]

HelloFresh's GenAI Enablement Squad is a cross-functional team that helps various teams across the company unlock practical AI value by identifying high-impact problems and building scalable AI-powered solutions.

• Experience building and shipping production AI applications using modern LLMs, including agents, Retrieval-Augmented Generation (RAG), workflow automation, structured generation, and LLM evaluation.
• Strong software engineering skills with experience designing and operating production systems.
• Experience collaborating directly with customers or business stakeholders to translate ambiguous problems into software solutions.
• A product mindset focused on delivering measurable user and business impact.
• Ability to rapidly prototype while balancing scalability, reliability, and 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 for effective collaboration across technical and non-technical audiences.

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.

• Partner with engineering and business teams across HelloFresh to identify AI-driven value opportunities.
• Embed with teams to rapidly prototype AI solutions, gather feedback, and iterate.
• Design, build, deploy, and operate production-grade AI applications such as agents, workflow automations, retrieval systems, and internal tools.
• Build role-specific AI assistants distributed via the internal plugin marketplace.
• Manage the full lifecycle of AI solutions from discovery to continuous improvement.
• Ensure solutions are reliable, observable, secure, and cost-effective balancing speed and quality.
• Collaborate with platform engineers to leverage and improve shared AI infrastructure.
• Share learnings and reusable patterns to accelerate AI initiatives.
• Mentor teammates through collaboration, code reviews, and technical discussions.