AI Platform Engineer

About the Position

AI Platform Engineer

Engineering 📍Amsterdam

Picnic is building a new generation of intelligent shopping experiences and fulfillment automation with AI. In our app, we help customers search in their own words, plan meals around their household, and shop effortlessly. In our supply chain, automation helps us deliver efficiently and sustainably.

As an AI Platform Engineer, you’ll build the tools and infrastructure to take AI from experiment to dependable production system: model access, tracing, evaluation, fine-tuning, and low-latency serving. You'll set the technical direction for how engineers build with AI, working closely with product teams across search, personalization, and fulfillment automation.

Responsibilities

• Provide an environment in which agents run at optimal cost: Evolve our AI Gateway with provider integrations, model routing, fallbacks, rate limits, privacy controls, and cost attribution.
• Standardise LLM tracing, evals, and benchmarking: Build end-to-end tracing, evaluation, and production monitoring across prompts, models, retrieval, tools, and agent state. Help teams turn human judgement and customer outcomes into repeatable evaluation sets.
• Productionize open-weight models: Create the path to fine-tune, evaluate, and serve open-weight models. Support real-time inference and high-throughput batch workloads, and make latency, performance, and cost trade-offs visible.
• Build a paved path for getting agents to run in production: Enable developers by providing clear APIs, SDKs, templates, and local tooling for structured generation, tool use, model experiments, and agent workflows. Make the supported path easier than assembling one-off infrastructure.

Requirements

• Bachelor’s degree or higher in Computer Science, AI, or a related field
• Strong backend engineering fundamentals, especially in Python
• Proven track record building self-service AI platforms and scaling their adoption
• Experience bringing language models or other ML/AI systems into production with meaningful reliability, latency, security, and cost requirements
• Familiarity with cloud infrastructure, containers, Kubernetes, CI/CD, and observability
• Able to take end-to-end ownership, make pragmatic build-versus-buy decisions, and work effectively across platform, ML/AI, and product teams

Nice to Have

• Experience with LLM or agent gateways, tool protocols such as MCP, guardrails, or policy-aware model access
• Experience with LLM fine-tuning and serving

We Offer

• 🫱🏼‍🫲🏾 Teamwork makes the dream work: With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!
• 💡 Make a difference: You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place!
• 🥗 Fresh Lunch, coffee, and snacks: Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.
• 🚲 Health insurance discount & bike plan: We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate.
• 🌎 Relocation: If you’re moving from another country to join Picnic, we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application.
• 📆 All the rest: At Picnic, you get 25 holidays, we cover your travel expenses, and offer a pension plan. And your phone and laptop are on us, as well.

About the Company

Picnic is on a mission to revolutionize the way people shop and fulfill their needs with the help of AI. Our tech stack includes Python, FastAPI, LiteLLM, OpenAI, Gemini, Snowflake, PostgreSQL, OpenSearch, RabbitMQ, Kafka, Git, Docker, Kubernetes, AWS, Helm, Terraform, Vault, and Datadog. We are a diverse and inclusive company with offices in multiple countries.