Design, develop, and deploy conversational AI applications using leading Generative AI platforms. Build autonomous agents, multi-agent workflows, and RAG architectures while ensuring response quality, reliability, and safety. Requires proven experience with LLMs, Python, and agent frameworks in an international, remote environment.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Capitole is one of the best IT consulting companies and the place you want to be. Why?
🤝 People in the center. We believe in a different model, more human, with the employee in the center of our company
👨 💻 Interesting projects. Cutting-edge technologies. Agile methologies
😁 Happiness and low turnover rate
🎓 €1200 per year training budget
⌚ Flexible working hours
🌏 More than 900 skilled professionals, from more than 27 nationalities
🎯 Tailored career path
📆 Monthly follow-ups. 360º continuous evaluation
🩺 Private health insurance
💰 Flexible retribution program
🏋️ ♂️ Wellhub: access to fitness, wellness, and mental health support
📄 Processing of the work permit for you to come to Spain with your family
📢 Technological communities
🥳 Lots of amazing events
At Capitole Consulting, we continue to grow and we're looking for an experienced AI Engineer to join an innovative international project focused on Generative AI and Agentic AI solutions.
If you're passionate about Artificial Intelligence, Large Language Models and building the next generation of intelligent applications, we'd love to hear from you!
💡 What will you do?
- Design, develop and deploy conversational AI applications using leading Generative AI platforms such as Cognigy, Salesforce, Microsoft or Google.
- Build Generative AI and Agentic AI solutions, including autonomous agents, multi-agent workflows, tool calling and orchestration patterns.
- Develop Proof of Concepts (PoCs) to validate innovative AI ideas and accelerate new capabilities.
- Implement LLMs, Prompt Engineering, NLP and Machine Learning techniques to improve conversational experiences.
- Design and implement RAG architectures, embeddings and vector-based information retrieval solutions.
- Integrate AI applications with APIs, enterprise systems and external tools.
- Evaluate response quality, reliability, safety and ethical behaviour of AI applications.
- Collaborate with Product Managers, Designers and Developers to deliver scalable and secure AI solutions.
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🛠️ What are we looking for?
- Proven experience developing Generative AI and Agentic AI applications.
- Strong Python development skills.
- Hands-on experience working with Large Language Models (LLMs) and Prompt Engineering.
- Experience with agent frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar.
- Solid understanding of RAG architectures, embeddings and vector databases.
- Experience integrating AI solutions with APIs and enterprise systems.
- Experience evaluating and testing LLM-based applications, ensuring response quality, reliability and safety.
- Strong analytical, problem-solving and collaboration skills.
- English C1.
⭐ Nice to have
- Experience developing conversational AI applications.
- Experience with cloud platforms such as AWS, Azure or Google Cloud.
- Knowledge of data privacy, AI security and responsible AI best practices.
- Master's degree in Artificial Intelligence, Computer Science or a related field.
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🎯 Why join us?
✨ Work on innovative Generative AI and Agentic AI projects.
🌍 International environment.
📈 Professional growth and continuous learning.
🤝 Collaborative, multicultural and innovative team.
📍 Location: Spain
🔵 Conditions:
Language: English (C1).
Location: Full Remote.
Schedule: 40h/week. Flexible + intensive Fridays.
Want to know more? Click here 🖱️ and find out!
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Feel free to send us your profile, we are excited to meet you! 💙
The employee will adhere to information security policies:
-Will have access to confidential information related to Capitole and the project they are working on.
-Must comply with the security policies and internal policies of the company and the client.
-Must sign an NDA.
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