AI Platform Engineer

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.

Tricks of the trade

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, OpenSearch, 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

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

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

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.