AI / LLM Engineer, presencial
Empresa
ZENTRIAN
Provincia
Baleares
Ciudad
Baleares
Tipo de Contrato
Tiempo Completo
Descripción
AI / LLM Engineer
We are building an advanced AI layer for real-world smart living systems. Our platform connects IoT infrastructure with LLM-based intelligence, enabling natural language interaction, automation, and data-driven insights.
What you will work on:
Improving RAG pipelines (semantic and hybrid search)
Building and refining multi-turn AI agents
Optimizing tool routing and overall system architecture
Developing real-world AI features such as:
device control
automation logic
context-aware insights based on live data
Your profile:
Proven experience building real LLM-based systems (not just demos)
Strong Python skills (async programming, APIs)
Solid understanding of system architecture
Clear communication in English
Our environment:
We work with a modern full-stack setup including Python, FastAPI, Docker, Node.js, TypeScript/React, Supabase and PostgreSQL, as well as Redis and Deno.
On the AI side, we use LangChain / LangGraph, OpenAI API, and tools like Claude Code and Cursor AI. Our infrastructure runs on Kubernetes with CI/CD workflows.
Experience with parts of this stack is highly appreciated.
Python, PostgreSQL, Supabase, Redis, Node.js, TypeScript, React, Deno, Git, CI/CD, Cursor AI, Claude Code
We are building an advanced AI layer for real-world smart living systems. Our platform connects IoT infrastructure with LLM-based intelligence, enabling natural language interaction, automation, and data-driven insights.
What you will work on:
Improving RAG pipelines (semantic and hybrid search)
Building and refining multi-turn AI agents
Optimizing tool routing and overall system architecture
Developing real-world AI features such as:
device control
automation logic
context-aware insights based on live data
Your profile:
Proven experience building real LLM-based systems (not just demos)
Strong Python skills (async programming, APIs)
Solid understanding of system architecture
Clear communication in English
Our environment:
We work with a modern full-stack setup including Python, FastAPI, Docker, Node.js, TypeScript/React, Supabase and PostgreSQL, as well as Redis and Deno.
On the AI side, we use LangChain / LangGraph, OpenAI API, and tools like Claude Code and Cursor AI. Our infrastructure runs on Kubernetes with CI/CD workflows.
Experience with parts of this stack is highly appreciated.
Python, PostgreSQL, Supabase, Redis, Node.js, TypeScript, React, Deno, Git, CI/CD, Cursor AI, Claude Code