Senior AI Engineer · Fullstack · Technical Lead
Alex Madrazo

Shipping Agentic Systems
in production

I architect the foundational infrastructure for AI-native applications — LLM routing, agent observability, and the cloud platforms beneath them — backed by 8+ years leading teams from business strategy to delivered software.

$ am --skill >>
View selected work Get in touchAvailable · Madrid, ES
▌STATE
EVOLVING
▌SIGNAL
UNSTABLE
▌NODE
AM // MADRID
// 01 — CAPABILITIES

What I build

Not a list of tools — the systems I own end-to-end, from infrastructure to the interface on top.

01{ }

AI-Native Infrastructure & Tooling

The substrate beneath AI products: MCP servers, RAG pipelines and vector search, plus the developer tooling on top — agent-first CLIs, sandboxed environments, and secure code execution.

MCPRAGVector SearchCLIsSandboxes
02

Agentic Systems & Copilots

Multi-agent orchestration across the spectrum — autonomous long-horizon workers, customer-facing copilots, and internal assistants. Tool-use, human-in-the-loop guardrails, and context engineering wired through MCP.

Multi-AgentCopilotsAutonomousMCP
03

Observability & Telemetry

Hierarchical traces that capture every LLM call, tool invocation, and retrieval step — filterable by user, session, cost, and latency. LLM-as-a-judge evaluation, prompt management, and golden datasets on a high-throughput telemetry engine.

LangfuseClickHouseLLM-as-JudgeEvalsTracing
04

Cloud & DevOps

Infrastructure-as-Code across AWS, GCP, and Azure, with Kubernetes at scale. DevOps pipelines with AI at their core — automated PR reviews and self-healing, self-building systems on GitHub Actions and GitLab CI.

AWS/GCP/AzureTerraformKubernetesGitHub/GitLab CI
05

High-Performance Backends & Intuitive Frontends

End-to-end product engineering, backed by 8+ years full-stack: Go and Python services over real-time data layers, paired with intuitive React / Next.js frontends — including generative UI — built for throughput and heavy user loads.

GoPythonNext.jsReactOLAP
06

Leadership & Communication

Building effective multidisciplinary teams and leading them from business strategy to delivery. Fluent translating between technical and business contexts, with a genuine focus on mentoring, teaching, and growing engineers. Owns enterprise trust end-to-end: ISO 27001, SOC2, GDPR and EU AI Act.

Team BuildingMentoringTech ↔ BusinessCompliance
// 02 — SELECTED WORK

Projects I've shipped

scroll · 06 projects
FLAGSHIP● live
Interactive AI · 2025—present

Agent Engineering Platform

An end-to-end enterprise platform to build, connect, deploy, govern and improve AI agents. I engineered the observability and orchestration core — a high-throughput telemetry engine (FastAPI + ClickHouse) tracing every run from prompt to outcome, an MCP-based orchestration layer with a smart LLM Router across 200+ models, and an agent-first CLI + SDK, wrapped in a Generative-UI agent builder.

<6mozero → enterprise production
GoPython · FastAPIClickHouseMCPLLM RouterGenerative UIKubernetes
Visit interactive.ai
Agent Engineering Platform preview
PRODUCT● live
PromptVM · 2025—present

PromptVM

Version control, a marketplace, and developer tools for AI prompts — write once, deploy anywhere via MCP, CLI, SDK or REST API. Semantic search runs across thousands of prompt versions so teams can track how a prompt evolved and promote the best-performing one as their default.

prompt versions, searchable
Next.jsPrompt VersioningSemantic SearchCLIMCPAPI
Visit promptvm.ai
PromptVM preview
MOBILE · AI● live
Independent · 2025

MyWeather AI

A beautifully minimal iOS weather app with a built-in conversational AI assistant. Instead of decoding charts, just ask — "Do I need an umbrella today?" — and it reads the live forecast (Open-Meteo) for any city, checks air quality, UV and more, and replies in plain, friendly language. The UI adapts to the weather and time of day.

iOSon the App Store
SwiftUIConversational AIOpen-MeteoAir Quality
App Store
MyWeather AI preview
PLATFORMshipped
Burlingame Studios · 2021—2025

Mobile Game CMS + 3D Content Production Pipelines

Content pipelines for AAA mobile titles built for fast-paced LiveOps: headless Unity render clusters producing 3D game assets at scale, AI-driven localization across four languages, and content-generation copilot agents that accelerated production — serving millions of players.

M+users served
TypeScriptUnityGCPLiveOpsAI LocalizationCopilot Agents
Mobile Game CMS + 3D Content Production Pipelines preview
WEB3shipped
Meteo.tech · 2019—2021

Biota.land

A Web3 NFT marketplace for carbon credits on Celo — each token a certificate of authenticity tied to a real preserved area (e.g. Tirimbina Biological Reserve), enabling transparent, traceable carbon-offset transactions on-chain.

NFTcarbon-credit marketplace
Web3CeloSolidityNext.js
Biota on X
Biota.land preview
GEOSPATIALshipped
Meteo.tech / D.A.P · 2019—2021

Climate Intelligence Platforms

Advanced meteorological and climatological platforms with interactive real-time maps, plus climate-risk assessment tools supporting strategic planning and resilience across the region.

RTreal-time interactive maps
ReactNode.jsPostgreSQLMapping
Visit platform
Climate Intelligence Platforms preview
// 03 — TRAJECTORY

The path so far

Select a node to inspect the role. [ click to expand ]

2025 — Present · Madrid, ES · EU

Lead AI Engineering Consultant

HazelHeartwood
▌CHAPTER 06/06
AI CONSULTING · STRATEGY → IMPACT
Guide human organizations through AI-driven change — from roadmap to measurable impact.
Design and build complex multidisciplinary agent-orchestration architectures and systems.
Consult, implement, and embed AI agents and systems into production within large EU enterprises.
Translate business strategy into pragmatic, compliant agentic architectures.
Partner with internal teams to upskill engineers and de-risk adoption at scale.
AI StrategyAgent OrchestrationAgentic SystemsEnterpriseEU
2016
IB Diploma Programme
SEK International School, Ecuador
2017—2020
BSc Computer Science & Engineering
Universidad Francisco Marroquín · DevOps, Cloud & Web
2022—2023
Master in Management — STEM
EAE Business School, Madrid
// 04 — STACK

Works across the stack

From the intelligence layer down to the platform it runs on — no framework lock-in.

AI & Agents
MMCPAAG-UILLLM RoutingLLangGraphLLangChainOOpenRouterOOpenAI APIAAzure AI FoundryGGoogle AI StudioLLangfuseRRAGVVector SearchCCLI DevelopmentAAI-Native CI/CDCCoding Agents
Frontend
NNext.jsRReactGGenerative UITTailwindAAngular
Backend & Languages
GGoPPythonFFastAPINNode.jsTTypeScriptPPHP
Cloud / IaC
TTerraformKKubernetesDDockerAAWSGGCPAAzureGGitHub ActionsGGitLab CI
Data Stores
CClickHousePPostgreSQLRRedisMMySQLMMongoDBDDynamoDB
Compliance & Trust
IISO 27001SSOC2GGDPREEU AI Act
GO /PYTHON /TYPESCRIPT /KUBERNETES /TERRAFORM /CLICKHOUSE /FASTAPI /MCP /POSTGRES /NEXT.JS /GCP /REDIS /
// 05 — WRITING

Notes from the build

Read all writing →
June 25, 202618 min read

Building an AI Engineering Practice — A Reference Strategy

A generalized, anonymized playbook for turning a salad of one-off agents and tools into a standardized AI Engineering platform — one that builds from a compounding set of reusable blocks, so every next solution ships faster, safer, and cheaper than the last.

AI EngineeringStrategyPlatformAgentsEU Sovereignty
// 06 — CONTACT

Let's build something
that ships.

am@madrid ~ /contactavailable
$ am --connect --all
→ opening 4 channels · pick one to reach me directly
$ _