Level

HelloFresh

Senior AI Engineer, Inteligent Platforms

HelloFresh is hiring a Senior AI Engineer, Inteligent Platforms in Warsaw, Poland. Level rates it ; you can apply on Level.

AI in this role

openaianthropicbedrockvertex-ai
ragai-evaluation

The role and the team

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

  • 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

  • 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: The Toppings

  • Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.

  • Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.

  • Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.

  • Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. 

How we rate this

Senior AI Engineer, Inteligent Platforms at HelloFresh rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI EvaluationOpenAIAnthropicBedrockVertex AI

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$181k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide that one model's output is better than another's for a given task?
  3. What are the limits of OpenAI that you've run into, and how did you work around them?
  4. What's a project where you used Anthropic hands-on?
  5. Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI Evaluation, OpenAI, Anthropic, and Bedrock. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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