Job Overview

We are looking for an AI Engineer with at least three years of experience in designing, building and deploying agentic AI and machine learning solutions.

The candidate will participate in the design, development and testing of the company’s portfolio software solutions, both customer‑facing services and internal tools. Technology research and innovation will be a fundamental pillar of the role.

The AI Engineer must have strong skills in modern AI application development, with a focus on LLM‑powered, agentic systems, solid Python programming, data analysis and the ability to integrate autonomous, AI‑driven capabilities into robust, user‑centric web tools and interfaces.

Your Mission

As an AI Engineer, you will be a central figure in our forward‑thinking team, owning the design and implementation of agentic and AI‑driven solutions — from autonomous agents and multi‑agent systems to the web tools and interfaces that bring them to our users. You will take ownership of the full lifecycle of our agentic AI features—design, testing, deployment and continuous improvement—creating reliable, observable and human‑in‑the‑loop experiences that are seamless and innovative.

Key Responsibilities

Write elegant, efficient, well‑documented and reusable code.

Design, build and operate agentic systems: autonomous agents, agentic workflows, planning and reasoning loops, tool/function calling and multi‑agent orchestration using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen or the Model Context Protocol.

Design agent memory, context and retrieval strategies using RAG,



prompt and context engineering and vector databases to ground agents in company data.

Define and run evaluations for agents and models, and design human‑in‑the‑loop workflows to keep autonomous systems safe, accurate and aligned with business goals.

Develop and optimize AI‑driven features powered by LLMs and machine learning models, integrating them into web interfaces using Flask, Django, FastAPI or React.

Take ownership of the full AI solution lifecycle: data preparation, model and agent development, evaluation, deployment, monitoring and continuous improvement.

Ensure seamless, reliable and safe integration of AI agents into production systems, applying guardrails, evaluations and observability.

Lead the creation of prototypes and proof‑of‑concept solutions to illustrate the effectiveness and potential of agentic AI and web innovations.

Collaborate with cross‑functional teams to integrate AI solutions and agentic workflows into existing systems and operations.

Stay abreast of the rapidly evolving agentic AI and web development landscape, continuously bringing new approaches to the team.

Write both technical and user documentation, and collaborate with QA to ensure AI features meet quality standards.

Required Qualifications

At least three years of experience in designing, building and deploying AI or machine learning solutions.

Proficient in Python programming and data analysis.

Experience with LLM‑powered, agentic systems and related frameworks.

Strong understanding of web development and integration into user interfaces.

Excellent problem‑solving skills and ability to work independently and collaboratively.

📌 AI Engineer (Madrid)
🏢 Omniaccess
📍 Madrid