P

AI Platform Engineer

Picnic Technologies • Netherlands
Relocation
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Build and scale the infrastructure and tools required to transition AI experiments into dependable production systems. Develop AI gateways, standardized tracing, and evaluation frameworks for LLMs and agentic workflows. Requires strong Python backend engineering fundamentals and experience productionizing ML/AI systems.

Key Highlights
Develop an AI Gateway for model routing, cost attribution, and privacy controls
Standardize LLM tracing, benchmarking, and production monitoring
Create a paved path for deploying agents and open-weight models in production
Key Responsibilities
Evolve the AI Gateway with provider integrations, model routing, fallbacks, rate limits, and cost attribution
Build end-to-end tracing, evaluation, and production monitoring across prompts, models, and agent state
Create the path to fine-tune, evaluate, and serve open-weight models for real-time and batch workloads
Provide clear APIs, SDKs, templates, and local tooling for structured generation and agent workflows
Collaborate with product teams across search, personalisation, and fulfillment automation
Technical Skills Required
Python Kubernetes Amazon Web Services
Benefits & Perks
Fresh lunch, coffee, and snacks
Health insurance discount
Bike plan (rent-to-own)
Relocation package (flights, first month's rent, moving costs up to €2000)
30% tax ruling application support
25 holidays
Travel expenses coverage
Pension plan
Company phone and laptop
Nice to Have
Experience with LLM or agent gateways
Experience with tool protocols such as MCP
Experience with guardrails or policy-aware model access
Experience with LLM fine-tuning and serving

Job Description

In a nutshellPicnic 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.Tricks of the trade
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