About Peak3 Peak3 is an award-winning vertical Saa S provider, enabling more relevant, convenient, and affordable insurance protection for everyone through our technology and ingenuity.
Para ser considerado para una entrevista, por favor, asegúrese de que su solicitud se ajusta plenamente a las especificaciones del puesto que se encuentran a continuación.
Together with our clients, we create a more resilient and innovative future.
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 Saa S solutions power top customers across life, health, and P&C; insurance.
Our 500+ colleagues are based across over 15 countries in Europe, Asia and the Middle East – with an ambitious roadmap to scale further.
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.
You should be as comfortable debugging a RAG recall failure in production as whiteboarding agent memory architectures with research or debating interaction patterns with design.
Responsibilities Build agentic AI applications end-to-end — RAG pipelines, multi-agent orchestration, tool calling, workflows — and ship insurance agents that run in production.
Design and optimize LLM inference chains: prompt engineering, structured outputs, fine-tuning (Lo RA/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/Type Script),



cloud-native deployment (K8s/Serverless) — taking demos to policy volumes in the millions.
Partner with actuarial, underwriting, and claims experts to turn domain knowledge into trustworthy, explainable, auditable AI systems.
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 Type Script and a modern frontend framework, with genuine comfort spanning backend, frontend, infrastructure, data, and model code.
Hands-on LLM engineering depth: RAG/retrieval, function/tool calling, agent frameworks (Lang Graph, Llama Index, or custom), systematic evals, prompt- and model-level optimization.
Solid AI infrastructure grounding — vector databases, embedding models, model deployment/serving, inference optimization, distributed systems — with the operational discipline for regulated environments.
Strong product instincts: can turn ambiguous problems into well-scoped solutions, cares about real user impact, and argues for simplicity when complexity isn't earned.
High agency — prototypes and drives progress without waiting for complete specs.
Nice to Have Taken an LLM system from 0 to 1 — prototype to real users, revenue, and operational load, including on-call and incident reviews.
Agent infrastructure experience: secure execution sandboxes (g Visor, Firecracker, WASM), agent memory/state architectures, model routing, workflow orchestration.
External technical signals — open-source contributions, technical writing, conference talks.
Interest in multimodal AI, long-context engineering, applied AI safety/alignment, or RLHF.
Finance or insurance domain experience (engineering ability and learning velocity matter more).
Our stack: Python, Type Script, React/Next.js, Postgres, Kubernetes, and various vector databases and LLM providers. xqbhyrx
Prior experience with every part isn't required — strong fundamentals and fast learning matter more.

📌 Principal ai full-stack engineer (España)
🏢 Peak3
📍 España