About Peak3 Peak3 is an award-winning vertical SaaS provider, enabling more relevant, convenient, and affordable insurance protection for everyone through our technology and ingenuity. Aunque la experiencia cualificado y las cualificaciones son clave para este puesto, asegúrese de comprobar si posee las habilidades interpersonales preferibles antes de solicitar, si se requieren.
We combine insurance core, distribution, and AI solutions to deliver a step change in performance for insurers, MGAs, and insurance intermediaries.
From greenfield embedded insurance ventures to multi-country core modernization programs, our SaaS solutions power top customers across life, health, and P&C; insurance.
About The Role As a Principal AI Full-Stack Engineer on the AI Platform team, you'll own the design, build, and operation of the agentic AI systems powering our core insurance products — architecting LLM inference chains, building production AI infrastructure, shipping full-stack features from model to UI, and setting technical direction for the team.
Design and optimize LLM inference chains:



prompt engineering, structured outputs, fine-tuning (LoRA/PEFT), evals, and observability.
Stand up production-grade AI infrastructure: vector databases, semantic retrieval, model gateways, inference acceleration, and cost governance.
Own full-stack delivery — frontend (React/Next.js), backend (Python/TypeScript), cloud-native deployment (K8s/Serverless) — taking demos to policy volumes in the millions.
Experience & Qualifications Proven track record shipping and operating production software at scale, ideally including an LLM/AI system taken from prototype to production.
Fluent in Python or TypeScript and a modern frontend framework, with genuine comfort spanning backend, frontend, infrastructure, data, and model code.
Hands-on LLM engineering depth: Solid AI infrastructure grounding — vector databases, embedding models, model deployment/serving, inference optimization, distributed systems —

📌 Principal Fullstack Engineer (Madrid)
🏢 CareerWallet
📍 Madrid