AI Platform Engineer

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, personalisation, and fulfillment automation.

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.

Our Tech: You’ll work with Python on a daily basis, using frameworks like FastAPI, LiteLLM, OpenAI, Gemini and more. Supporting this core stack are Snowflake, PostgreSQL, Open Search, RabbitMQ, Kafka, Git, Docker, Kubernetes, AWS, Helm, Terraform, Vault, and Datadog. Our open-weight training and serving stack is one of the choices you'll help us make.

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

Experience with LLM or agent gateways, tool protocols such as MCP, guardrails or policy-aware model access

Experience with LLM fine-tuning and serving

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.

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

If you’re moving from another country to join Picnic we make it…