Jorge Carrera Diez

Software engineer focused on product, architecture and systems design. Currently Tech Lead on VidaCaixa projects, engineering partner to EQx in Switzerland and creator of Snowy.

I am a computer engineer from the University of La Rioja, chartered by the Official Association of Computer Engineers of La Rioja. I work in enterprise environments leading technical decisions, collaborate as a freelance engineer with the Swiss foundation that publishes the Elite Quality Index under the University of St. Gallen, and build Snowy to work on product, frontend, backend, data, infrastructure, SEO and agents over a real system.

See Snowy CV

Jorge Carrera Diez

Software engineer · Product · Architecture

Current

Tech Lead

Product

Snowy

Based in

Logroño

Stack

Full stack

Web product with React, Next.js, TypeScript and NestJS

Agent orchestration and generative AI integration

SEO-first products with SSR and indexable content

Jorge Carrera Diez

Software engineer · Product · Architecture

Current

Tech Lead

Product

Snowy

Based in

Logroño

Stack

Full stack

Web product with React, Next.js, TypeScript and NestJS

Agent orchestration and generative AI integration

SEO-first products with SSR and indexable content

Tech Lead at VidaCaixa and engineering partner to EQx in Switzerland.

My current work combines technical judgement, coordination across teams and shipping new capabilities — both in an enterprise environment and on an international product where I own the technical handover end to end.

At VidaCaixa I work as Tech Lead in a banking and insurance environment, taking frontend architecture decisions, coordinating technically, reviewing code and aligning with backend, QA and business.

I am also involved in integrating generative AI capabilities, landing use cases, agents and tooling inside enterprise flows with security, traceability and maintenance requirements.

In parallel I collaborate as a freelance engineer with the Swiss foundation that publishes the Elite Quality Index, a political-economy index under the academic leadership of the University of St. Gallen. I took over its digital products and work directly with the index directors and designers to decide what ships and when.

Technical leadership

Architecture, standards, code reviews, technical coordination and supporting the team.

AI integration

Defining and embedding generative AI capabilities and agents into enterprise flows at Caixa.

Critical environment

Work on a banking and insurance product with business dependencies, QA, backend and cross-functional teams.

Generative AI applied to real flows.

I work on agents, RAG, tools, MCP and LLMs from one simple idea: AI should solve concrete tasks inside the product and stay as maintainable as any other part of the system.

What interests me most is designing the flow: what context the model needs, which tools it can use, how responses are controlled and what experience the user actually gets.

VidaCaixa

generative capabilities integrated into an enterprise environment

Snowy

assistant and tooling over real weather data

principles

context, limits, traceability, cost and end experience

agent-runtime

Interface

UX, streaming and feedback

input

Agent

plan, short memory and tool choice

reason

Tools

MCP, APIs and contracts

tools

Data

RAG, sources and permissions

context

Control

logs, limits and evaluation

guard

execution trace

controlled

intentweather query with user context

toolgetForecast(), getAlerts(), searchDocs()

contextinternal sources + real-time data

policylimits, traceability and verifiable answers

tool surface

RAGMCPAI SDKevalslogsfallback

lat

<1s

cost

cap

eval

How I approach it

Context before prompt

The value is in the model receiving the right information: your own data, permissions, retrieval, tools and the limits of the use case.

Agents with clear responsibility

I like designing flows where the agent knows what it can do, which tool to use and how to leave a trace you can debug.

Product, cost and operations

An AI feature also needs reasonable latency, fallback, observability, evaluations and a UX that doesn't force the user to understand the system.

Snowy: weather, data, maps and AI in a product of my own.

The project already works as a product: over the last 3 months it has generated millions of organic impressions, tens of thousands of clicks and a registered user base to keep building on.

Building it combines frontend, backend, cache, data, SEO, infrastructure and AI decisions under real constraints of cost, performance and maintenance.

See the engineering case Open Snowy

Snowy home with weather search, AI assistant and planner

7.5M

impressions

last 3 months in organic search

51k

clicks

traffic from Google over 3 months

1,200+

registered users

an owned base for community and new features

Technical leadership on enterprise projects.

My current role gives context and authority: architecture, standards, reviews, coordination, agents and mentoring on systems with real impact.

July 2026 - Present

Foundation for Value Creation · EQx

Software engineer - EQx (Switzerland)

I work with the Foundation for Value Creation, the Swiss foundation that publishes the Elite Quality Index under the academic leadership of three University of St. Gallen institutes. It is a political-economy index, published since 2020, ranking 151 countries by how far each country's elites create value for society rather than extract it. I took over its digital products: the public index site and the private console alongside it.

October 2025 - Present

VidaCaixa · Capgemini

Tech Lead - VidaCaixa

Frontend technical leadership on a strategic project in the insurance sector, defining architecture, development standards, best practices and the integration of generative AI into enterprise flows.

March 2025 - October 2025

Openbank, Santander Group · Capgemini

Lead Software Engineer - Openbank

Built the UI of a banking operations system for branches, focused on React, scalability, maintainability and hexagonal architecture patterns.

See full career

Projects with product, traffic and real technical decisions.

Snowy holds the deepest work: architecture, data, SEO, AI and infrastructure. LaRiojaMeteo brings audience, content and regional weather context.

Snowy

Weather platform with real-time data, maps, radar, stations, SEO, its own backend, infrastructure and AI.

A product built on SSR frontend, its own backend, cache, radar, CMS, deployments, observability and architecture decisions.

Next.jsReactTypeScriptNestJSMySQLRedis

See Snowy

LaRiojaMeteo

Regional weather portal combining audience, content, SEO, community and editorial distribution for La Rioja and Logroño.

A regional weather project running since 2012, with an editorial focus, SEO, community and live data.

2012

project origin

2024

Jorge joins

130+

archive pages

500k

initial monthly visits

See LaRiojaMeteo

Technology in service of the product.

I pick tools for performance, maintainability, SEO, cost and user experience.

Frontend

ReactNext.jsTypeScriptSSRSEOTailwind CSS

Backend

NestJSNode.jsJavaSpring BootAPIsAuth

Data and infrastructure

MySQLRedisPrismaDockerCoolifyAWS

AI and agents

Vercel AI SDKRAGLLMsMCPToolsEvals

Product

UXRoadmapAutomationAnalyticsCI/CD

If my profile fits, let's talk.

I want to build in teams with product, technical judgement and real problems to solve. The best way to see it is an unhurried conversation.

Email me