Agentic AI & GenAI Engineer based in Argentina. 6+ years shipping full-stack software (Flutter, NestJS, Next.js); the last year focused on production agentic AI with LangChain, LangGraph, and MCP.
Role
Agentic AI & GenAI Engineer
Location
Argentina (remote, worldwide)
Years of experience
6+ years full-stack, 1+ year focused on Agentic AI
Core AI stack
LangChain, LangGraph, Model Context Protocol (MCP), RAG, multi-agent systems, OpenAI, Anthropic Claude, Google Gemini
Engineering stack
TypeScript, Python, Next.js, NestJS, Flutter, Supabase, PostgreSQL with pgvector
Availability
Open to freelance contracts via Upwork and direct contact
Résumé
Full CV at azanello.com/cv — downloadable PDF at azanello.com/Alejandro_Zanello_Resume.pdf
Open source
Author of Akashi, a provider-neutral multi-agent framework for Dart and Flutter published on pub.dev
Certifications
Coursera Agentic AI Engineering Specialization (Edureka, May 2026), IBM Generative AI and Python series via Coursera (June 2026), AWS Certified Cloud Practitioner (May 2024)
Provider-neutral agent framework for Dart & Flutter — a 14-package monorepo published on pub.dev, bringing the agent runtime primitives Python and TypeScript take for granted to the Dart ecosystem. Multi-agent orchestration via subagent-as-tool, control handoffs, and per-step model escalation.
Real estate CRM with an LLM-powered lead/property classification engine. Public listings + internal lead tracker; agentic scoring runs on Edge Functions on top of Supabase.
Protocol-first MCP reference in TypeScript: custom server + client + all 3 capabilities (tools, resources, prompts), both transports (stdio + HTTP), with wire-level JSON-RPC logging. No LangChain wrappers.
Production-grade REST API template exposing a LangGraph agent via LangServe. Multi-node research agent with SqliteSaver thread-resume, streaming, Langfuse observability, zero-key fake-LLM mode.
Fully-local RAG chatbot built with LangGraph + Chroma + Ollama. Multi-Query Fusion and RRF retrieval, SqliteSaver chat history, pluggable LLM provider. Zero API keys required.
Open-source CLI + AI workflow standard for Flutter & NestJS — orchestrates skills, health checks, and security audits consumable by AI agents. Proposed and authored the workflow spec.
Internal platform with LLM-driven buyer incentive scoring, automated seller reports, and multi-platform listing sync. AI scoring layer on top of Supabase.
Next.jsSupabaseOpenAI
2026 - Present
School Management Tool
Freelance
Internal system for tracking student payments and managing commission processes for referral-based payouts.
Next.jsSupabase
2025
Stores Helper
Personal
MCP-style CLI exposing Play Store & App Store management (products, forms, subscriptions) as tools for AI agents. Lets coding agents read/write store data from the repo.