Staff AI Engineer - Agentic Shopping

Picnic; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance discount

Bike plan

Relocation support

Lunch & snacks

25 holidays

Job summary

Picnic is seeking a Staff AI Engineer to lead the technical direction for agentic shopping experiences at scale. You will own architecture, model strategy, and evaluation patterns for multi-turn conversational systems powering the Picnic shopping assistant.

You will build production-grade RAG, context management, and monitoring loops while mentoring engineers to ship impactful features that delight millions of households and customers.

Qualifications

• Proven track record of taking complex multi-turn conversational AI systems from architectural design to high-scale production.
• Experience training, fine-tuning, and optimizing open-weight LLMs for production deployment.
• Hands-on expertise building production RAG systems, context management, and state handling for multi-turn dialogues.
• Experience designing robust evaluation loops, continuous monitoring systems, and automated safety/guardrail mechanisms for customer-facing applications.
• Demonstrated ability to lead technical direction, perform design reviews, and mentor engineering teams without relying on hierarchy.
• Strong Python skills and demonstrated ability to productionize model, orchestration, retrieval, evaluation and inference tooling; familiarity with PyTorch, LangGraph, vLLM, Pydantic AI, Qdrant or DeepEval is useful.

Responsibilities

• Lead the technical direction for agentic shopping experiences that help millions of people plan and shop effortlessly.
• Architect multi-turn conversational systems balancing latency, safety guardrails, and inference costs; mentor engineers across the org.
• Drive a fast-paced, iterative engineering cadence; build prototypes and write production code when needed.
• Design and implement systems architectures for multi-turn conversational agents using open-weight models and techniques like fine-tuning, distillation, and RAG.
• Establish offline and online evaluation for mission completion, basket correctness, user effort, and safety.
• Collaborate with product, design, and product teams to define trade-offs and ensure a safe user experience.

Skills

Multi-turn AI

Open-weight LLMs

RAG systems

Context management

Evaluation loops

Safety guardrails

Python

Education

Degree in CS/AI

Tools

PyTorch

LangGraph

vLLM

Pydantic AI

Qdrant

DeepEval

Job description

In a nutshell

Build the intelligence that helps households get the week sorted

Agentic grocery assistance: Picnic brings together something unusually powerful for an AI builder: a direct customer relationship, a live grocery assortment and the operational system that takes every order from intention to delivery. That gives you the opportunity to build an assistant that does more than talk; it can understand a household’s plans and constraints, assemble a grounded basket, explain its choices and learn from what customers accept or change. You will decide where models, retrieval, ranking and deterministic services add real value, balancing customer control, correctness, latency, reliability and cost.

Technical leadership & vision: As a Staff AI Engineer, you will be the hands‑on technical lead for Agentic Shopping. You will own technical direction, architecture and model‑strategy decisions; solve the hardest production challenges yourself; and establish evaluation, observability, safety and fallback patterns that other teams can reuse.

Tricks of the trade

Build Picnic’s shopping assistant: Lead the technical direction for agentic shopping experiences that help millions of people plan and shop effortlessly.

Technical leadership & architecture: Lead the system architecture for multi‑turn conversational agents, balancing latency, safety guardrails, and inference costs. Technically mentor engineers across the organization to execute on building production‑grade agentic systems.

Rapid prototyping & productionization: Drive a fast‑paced, iterative engineering cadence. Build initial prototypes, establish architectural patterns, and write production code when necessary to unblock complex technical challenges.

Model fine‑tuning & context engineering: Design and implement systems architectures for multi‑turn, conversational agents using open‑weight models and techniques like fine‑tuning, distillation, and RAG.

Evaluation & safety feedback loops: Establish continuous offline and online evaluation for mission completion, basket correctness, customer effort, clarification quality, acceptance and corrections, safety, reliability, latency and cost.

Cross‑functional alignment: Collaborate with product, design, and product teams to define technical trade‑offs, align on agent capabilities, and ensure a seamless, safe user experience.

We’re looking for

• Proven track record of taking complex multi‑turn conversational AI systems from architectural design to high‑scale production.
• Experience training, fine‑tuning, and optimizing open‑weight LLMs for production deployment.
• Hands‑on expertise building production RAG systems, context management, and state handling for multi‑turn dialogues.
• Experience designing robust evaluation loops, continuous monitoring systems, and automated safety/guardrail mechanisms for customer‑facing applications.
• Demonstrated ability to lead technical direction, perform design reviews, and mentor engineering teams without relying on hierarchy.
• Strong Python skills and demonstrated ability to choose and productionize appropriate model, orchestration, retrieval, evaluation and inference tooling. Experience with tools such as PyTorch, LangGraph, vLLM, Pydantic AI, Qdrant or DeepEval is useful, or similar framework tools is required.

+ Bonus points!

• Experience taking retrieval, ranking or recommendation models from problem definition to measurable production impact.
• In‑depth expertise in deep learning for sequence modelling, representation learning, or retrieval and ranking.
• A degree in Computer Science, AI (or a related field), a PhD, open‑source contributions, or peer‑reviewed research are considered strong pluses.

Picnic Perks

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.