Picnic Technologies

AI platform engineer for fulfillment automation

In short

AI Platform Engineer role at Picnic in Amsterdam, building infrastructure to move AI from experiment to production: model gateway, tracing, evaluation, fine-tuning and low-latency serving for LLM/ML systems. Requires strong Python backend engineering, proven experience building self-service AI platforms, and familiarity with cloud infrastructure, containers, Kubernetes, CI/CD and observability. Mid-level, onsite role in a fulfillment-automation and AI-driven shopping company.

About the Role
Picnic is building a new generation of intelligent shopping experiences and fulfillment automation with AI. In the app, this helps customers search in their own words, plan meals around their household and shop effortlessly. In the supply chain, automation helps 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.
Responsibilities
•Evolve the AI Gateway with provider integrations, model routing, fallbacks, rate limits, privacy controls, and cost attribution.
•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.
•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.
•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
Benefits & Conditions
•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 the company ski trip and more
•Work in an awesome startup environment with the freedom to drive your own projects and create a visible impact
•Fully electric vehicles and sustainable business model, contributing to making the world a better place
•Offices equipped with fully-fledged coffee bars and a kitchen and chefs preparing fresh and warm lunches every day
•Partnership with CZ (health insurance provider): discount on CZ insurance packages between 5% and 15%
•Partnership with Lease a Bike: rent-to-own a new (e)bike at a discounted rate
•Relocation support if moving from another country: covered flight costs for you, your partner and kids, first month's rent and moving costs (up to €2000), help with 30% tax ruling setup and application
•25 holidays
•Covered travel expenses
•Pension plan
•Phone and laptop provided

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