Senior AI Engineer

About the Position

We are seeking a Senior AI Engineer to design and optimize AI pipelines for regulated industries. Join our team in Europe (Remote) to build scalable AI systems.

Responsibilities

• Design and optimize the AI pipelines across the platform (document parsing and extraction, retrieval, vector stores, knowledge graphs, multi-agent workflows) to index and query complex operational documentation and enterprise SOPs
• Fine-tune and orchestrate LLMs to reliably translate natural language inputs into deterministic, structured API calls and workflow automations
• Build rigorous evaluation frameworks to measure and reduce hallucinations, enforce schema validation, and ensure factual accuracy for business processes, with a baseline in place before any optimization
• Deploy, scale, and monitor production AI microservices on cloud infrastructure (high availability, low latency, cost efficiency)
• Ensure all AI models and data pipelines comply with GDPR, strict enterprise access controls, zero-data-retention rules, and complete trace auditability
• Own the technical design and delivery of key parts of the AI system (with clear constraints, but real decision authority), and contribute to team-wide design decisions and code review

Requirements

• 5+ years building production systems involving ML, search, or LLMs, including LLM-based systems you shipped and evaluated
• Strong CS fundamentals (data structures, algorithms, system design)
• Experience in regulated or high-stakes environments (healthcare, pharma, finance, compliance)
• Exposure to: knowledge graphs, ontologies, linked data, search engines, information extraction
• Comfort with greenfield systems and long-term ownership
• Fluency with coding agents and modern AI tooling in everyday engineering (we build with the same technology we ship)

Nice to Have

• Tech environment (indicative, not dogmatic):
  • Python
  • LLMs with a focus on reliability and control
  • Search, vector stores, and graph databases
  • AWS

We Offer

• Real ownership from day one. High ambition, high standards, and a strong bias towards execution - with the runway to ship.
• A hardware setup of your choice, designed for deep, focused engineering work.
• A culture where execution and impact are what matter - not hours or optics.

About the Company

Playbook is building the Operating Memory for regulated industries. In life sciences and other highly regulated sectors, companies run on thousands of written procedures, SOPs, work instructions, policies, manuals, and how-to guides. Employees are expected to find, understand, follow, and stay trained on the right procedure at the right moment. That system is breaking under the weight of information overload.

Playbook turns procedural documents into structured, usable data making critical operational knowledge consumable by humans, software systems, and AI agents. This living layer of procedural knowledge is what we call Operating Memory.

We work with leading global life sciences companies and are building the foundational data model for procedural knowledge in regulated industries. We’re a Series A founder-led startup with high ambition, high standards, and a strong bias toward execution.

Why Now

Enterprise AI agents can’t run on fragile data pipelines. They need deterministic, auditable, and low-latency infrastructure under the hood.

Think this is your kind of challenge?

Send us your CV, a short note on why you'd be a great fit, and links to anything you've built. We're looking forward to hearing from you.

Apply for this role