We're looking for an AI Software Engineer with an AI-first mindset, focused on leveraging artificial intelligence to optimize workflows, automate processes, and enhance applications using existing AI models and APIs.

🎯 Responsibilities

1. Configure and implement applications using Large Language Models (LLMs) and other Generative AI models (including multimodal and AI agents).
2. Integrate AI APIs and tools from providers such as OpenAI, Anthropic, Google, Meta, Hugging Face, Stability AI, and others.
3. Continuously improve and experiment with new AI architectures, frameworks, and best practices.
4. Collaborate with development teams to incorporate AI-powered functionalities into engineering processes and tools.

🗓️ Your First Months

1. First month:Fully integrate into the team by participating in planning, reviews, and retrospectives.
2. Become familiar with the tech stack, CI/CD workflows, and cloud infrastructure.
3. Have multiple pull requests merged and running in production.
4. Attend some original experiences organized by the company.
5. After 3 months:Be actively involved in AI-powered automation to improve processes and workflows across engineering and product teams.
6. Integrate LLMs and AI APIs into internal and external applications to ensure effective adoption of AI.
7. Implement prompt engineering strategies for optimal AI responses and performance.
8. Participate in hackathons and innovation days, collaborating across teams.
9. After 6 months:Own multiple AI-powered projects optimizing engineering productivity and automation.
10. Experiment with new architectures, frameworks, and best practices to enhance automation.
11. Mentor and guide other engineers on AI adoption and best practices.
12. Contribute to shaping the organization's AI strategy for ethical and efficient deployment.

🛠️ Requirements

1. Bachelor’s or Master’s degree in Artificial Intelligence, Data Science, Mathematics, Physics, or Engineering fields.
2. Strong proficiency in Python programming.
3. Hands-on experience integrating LLMs into applications.
4. Experience applying Generative AI techniques, including Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning.
5. Experience with continuous integration and continuous deployment (CI/CD) pipelines for production deployment and monitoring.

➕ Nice to have

1. Experience with Django or Flask.
2. Familiarity with PostgreSQL, Redis, Celery with RabbitMQ.
3. Experience working in agile environments.
4. Handling event communication between services.
5. Experience with high-traffic services (more than 1000 requests/second).
6. Knowledge of AWS, Docker, and Kubernetes.

🤗 Benefits

1. Opportunity to have real impact in a high-growth global company
2. 40% discount on company events and experiences
3. Home office friendly within Spain
4. Relocation package for international candidates
5. Responsibility from day one, with professional and personal growth
6. Supportive, international work environment
7. Health insurance and flexible remuneration with tax benefits
8. English lessons
9. Gympass membership
10. Option to receive part of your salary in advance via Payflow
11. Competitive compensation package including base salary, significant performance bonus potential, and stock options

📋 Selection Process

1. Talent Interview (1h): Introduction and discussion about your background
2. Engineering Manager Interview (1h): Deep dive into your technical expertise
3. Technical Assignment: Opportunity to demonstrate your skills (to be completed in 3 days)
4. Team Interview (1.5h): Review and discussion of your technical assignment solution