AI Developer

Jobgether; Spain; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Job summary

Jobgether in Spain seeks an AI Developer to design and build intelligent AI-powered applications. This fully remote role focuses on turning business requirements into scalable solutions, leveraging LLMs, RAG, and vector databases to automate workflows.

You will integrate with APIs, work with LangChain, LlamaIndex, and Hugging Face, and collaborate with software teams to embed AI capabilities into existing systems while ensuring security and reliability.

Qualifications

• Proven experience in software development, AI engineering, or ML.
• Strong Python and/or other programming language proficiency.
• Experience with LLMs such as GPT, Claude, Gemini, or similar models.
• Familiarity with AI frameworks and libraries (e.g., LangChain, LangGraph, LlamaIndex, Hugging Face).

Responsibilities

• Design, develop, and deploy AI-powered applications and solutions.
• Integrate LLMs and generative AI tools into existing products.
• Build AI agents, chatbots, and automated workflows.
• Work with APIs and third-party AI platforms to add intelligent functionality.
• Implement RAG architectures and integrate vector databases.
• Develop, test, and optimize ML models and AI apps.
• Ensure solutions are scalable, secure, and reliable.
• Collaborate with software teams to embed AI capabilities.
• Monitor AI performance and improve model accuracy.

Skills

Python

API integration

English proficiency

Tools

LLMs

LangChain

LangGraph

LlamaIndex

Hugging Face

vector databases

RAG architectures

cloud platforms

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Developer based in Spain.

We are seeking a technically skilled AI Developer to design and build intelligent applications that enhance business processes and automate workflows. In this remote role, you will turn business requirements into practical, scalable AI-powered solutions. You will work extensively with large language models, generative AI technologies, and machine learning tools to develop innovative applications. Your work will include building AI agents, chatbots, and Retrieval-Augmented Generation (RAG) systems, while integrating third-party platforms and APIs. Collaborating with development teams, you will help embed intelligent capabilities into existing software. This is an opportunity to contribute to the development of reliable, secure, and efficient AI solutions in a collaborative technical environment.

Accountabilities

As an AI Developer, you will be responsible for designing, implementing, and continuously improving AI-driven applications and integrations. Your main responsibilities will include:

• Design, develop, and deploy AI-powered applications and solutions.
• Integrate Large Language Models (LLMs) and generative AI tools into existing products and systems.
• Build AI agents, chatbots, and automated workflows to streamline business processes.
• Work with APIs and third-party AI platforms to introduce intelligent functionalities.
• Implement Retrieval-Augmented Generation (RAG) architectures and integrate vector databases.
• Develop, test, and optimize machine learning models and AI applications.
• Ensure solutions are scalable, reliable, secure, and efficient.
• Collaborate with software development teams to integrate AI capabilities into existing systems.
• Monitor AI performance and continuously improve model accuracy, reliability, and efficiency.

Requirements

The ideal candidate combines a solid software engineering background with hands-on experience developing and integrating modern AI technologies. You should bring the following qualifications and skills:

• Proven experience in software development, AI engineering, or machine learning.
• Strong proficiency in Python and/or other relevant programming languages.
• Practical experience working with LLMs such as OpenAI GPT, Claude, Gemini, or similar models.
• Familiarity with AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, or Hugging Face.
• Good understanding of APIs, backend development, and system integration.
• Experience with prompt engineering and context management.
• Knowledge of machine learning, Natural Language Processing (NLP), and generative AI concepts.
• Hands-on experience with vector databases and RAG architectures.
• Familiarity with cloud platforms and AI deployment environments.
• Upper-intermediate or higher English proficiency.

Benefits

• Competitive salary.
• Fully remote working arrangement.