> Markdown version of [/jobs/ext/2191949-full-stack-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2191949-full-stack-engineering-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Full-Stack Engineering Manager

- **Company:** Peak3 (Formerly Za Tech)
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Cloud Engineering, Distributed Systems, Python (Programming Language), PostgreSQL, Next.js, Software Safety, TypeScript, AI Infrastructure, ReactJS, Large Language Models, Prompt Engineering, Backend, AI Platforms, Kubernetes, Free and Open-Source Software, Machine Learning Operations, Front End Software Development, Serverless Computing
- **Published:** August 23, 2026
- **Apply:** https://www.buscojobs.com.es/full-stack-engineering-manager-en-madrid-ID-368066292

## About the Role

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 - with the operational discipline for regulated environments.
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).
Python, TypeScript, React/Next.js, Postgres, Kubernetes, and various vector databases and LLM providers.

## Description

Peak3 is an award-winning vertical SaaS provider, enabling more relevant, convenient, and affordable insurance protection for everyone through our technology and ingenuity.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.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.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 - with the operational discipline for regulated environments.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).Python, TypeScript, React/Next.js, Postgres, Kubernetes, and various vector databases and LLM providers.


## Related Videos

- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs)
- [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)
- [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)