AI Engineer

We are a company expert in helping others grow through our technological expertise, solving complex technological challenges, and focusing on operational excellence.

Since 2012, we have grown annually at an average rate of 30%, and for three consecutive years, we have been one of the fastest-growing companies in Europe according to the Financial Times.

• We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation.
• We are passionate about technology challenges that have a significant impact on business. To address these, we have high-performance teams and the ability to quickly and effectively combine technologies.
• We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience.

We invite you to get to know us in depth by exploring the various sections of our website: https://www.innocv.com/

The work involves designing and implementing AI solutions aligned with business needs and technological standards. It includes applying techniques like Retrieval-Augmented Generation (RAG) to improve the precision and relevance of AI interactions, as well as developing Agentic RAGs, which incorporate autonomous agents to refine data retrieval and content generation. The development of AI agents and agent networks, capable of solving complex problems and interacting with each other, is central to the process. Tools such as LangChain are used to create modular architectures for agents specializing in tasks like information retrieval, contextual inference, and data-driven decision-making. Large Language Models (LLMs) such as Gemini and Llama are leveraged for tasks like text generation and question answering, with added security measures to ensure appropriate content.

Additionally, the work involves designing and managing data ingestion pipelines, implementing serverless architectures and Pub/Sub models to scale data intake, and using DevOps and MLOps practices for automating the deployment and management of AI models. APIs are integrated to connect AI models with external systems and to register events and metadata. Performance optimization includes analyzing system performance, detecting bottlenecks, and implementing caching strategies to improve response times. The strategy also emphasizes collaboration with designers and product teams to ensure AI solutions meet real business and user needs, while maintaining innovation through continuous research and experimentation with new AI technologies.

Essential:

     • Proficiency in programming languages such as Python, Java, C++, and R.
     • Experience with AI frameworks and libraries like TensorFlow, PyTorch, and scikit-learn.
     • Advanced knowledge of LLMs and their applications.
     • Experience with RAG techniques and Agentic RAGs.
     • Development of agent-based systems and tools like LangChain.
     • Experience with cloud platforms such as Google Cloud, AWS, and Azure, including AI services.
     • Familiarity with containers and microservices (Docker, Kubernetes).
     • Knowledge of data ingestion and processing.
     • Experience in API development and integration.
     • Knowledge of databases, including vector databases.
     • Skills in DevOps and MLOps for automating and managing the AI model lifecycle.

If you are someone who likes to stay updated on the latest trends, is eager to try new technologies, and enjoys finding alternative ways to do things, this is the place for you. If you consider yourself a team player who advocates for Fair Play above all... a team is waiting for you!

In this company, you can be yourself and work with colleagues equally passionate about technology and innovation, ready to support you at all times. We want to see you evolve and grow with us. To that end, we invest in your professional development with training, tech breakfasts, and attendance at forums. We are advocates of continuous learning, which is why we provide a personal budget for staying up to date with market trends.

We care about well-being and happiness at work, which is why we listen to needs to offer the best working conditions in a unique human environment. Due to the emphasis we place on flexibility and work-life balance, we won the Madrid Flexible Company Award in 2020 and received an honorable mention in 2022.

This is a WIN-WIN, and we have 42 benefits to offer you, but here are some highlights:

💻 100% remote work
⏰ Flexible hours
👏 Special timetable: Fridays and summer 7h.
📖 Individual budget for attending forums and training
🏅 English classes
🩺 Health insurance
🏖️ Every three years, 6 extra days off.
🎁 Day off on your birthday
🗣️ Bring a friend and benefit from it
🥳 Flexible compensation
🧘‍♂️ Wellness - Gympass
🌳 Volunteering opportunities
🎊 Company events and team buildings

To learn more about us, the protagonists of INNOCV will share more about the company.

If you identify with our work philosophy and share our passion for INNOvation and Code Vocation, we want to meet you!

We are committed to supporting the LGTBIQ+ community and invite individuals with disabilities to apply for this position. We value diversity and are committed to inclusion in our team.