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Picnic

App-based online grocery delivery service

Staff AI Engineer - Agentic Shopping

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAmsterdam, NetherlandsNo salary listed

About the Job

Requirements

  • 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 large language models for production deployment.
  • Hands-on expertise building production retrieval-augmented generation systems, context management, and state handling for multi-turn dialogues.
  • Experience designing robust evaluation loops, continuous monitoring systems, and automated safety or 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, or similar framework tools, is required.

Responsibilities

  • Lead the technical direction for agentic shopping experiences that help customers plan and shop.
  • Lead system architecture for multi-turn conversational agents, balancing latency, safety guardrails, and inference costs.
  • Technically mentor engineers across the organization to build production-grade agentic systems.
  • Drive rapid, iterative engineering; build prototypes, establish architectural patterns, and write production code as needed to resolve complex technical challenges.
  • Design and implement system architectures for multi-turn conversational agents using open-weight models and techniques such as fine-tuning, distillation, and retrieval-augmented generation.
  • Establish continuous offline and online evaluation for mission completion, basket correctness, customer effort, clarification quality, acceptance and corrections, safety, reliability, latency, and cost.
  • Collaborate with product and design teams to define technical trade-offs, align on agent capabilities, and ensure a seamless, safe user experience.
  • Own technical direction, architecture, and model-strategy decisions; solve complex production challenges and establish evaluation, observability, safety, and fallback patterns for reuse by other teams.

Desired Qualifications

  • 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.

About the Company

Picnic

App-based online grocery delivery service

Picnic delivers groceries through a mobile app-based service. Customers order from a wide product range in the app, and centralized hubs plus optimized routing handle warehousing, picking, and last-mile delivery to homes. It differentiates itself by being app-only with no physical stores, which lowers overhead and enables free delivery in its regions (Netherlands, Germany, and France). Its goal is to make groceries affordable and convenient through a simple app experience while expanding across Europe and forming partnerships to enhance shopping.

Company size
5,001-10,000
Company stage
Growth Equity (Venture Capital)
Total funding
$1.9B
Headquarters
Amsterdam-Duivendrecht, Netherlands
Founded
2015

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