Can you imagine building AI-powered products that transform how business teams
generate strategic insights? ??

Join our expert team to work on a Pharmaceutical sector product, contributing to
the development of an AI platform that transforms enterprise knowledge into
intelligent decision support.

You will apply your knowledge of LLMs, RAG, knowledge graphs and cloud-native
technologies to build scalable AI solutions that enable business teams to make
better evidence-based decisions through Synthetic AI Personas.

At ERNI, you are never just a number. Even if you work on an external project,
you will feel part of the team and always supported.

How do we make this happen? ?

With people. Besides your team and manager, you will have several support
figures like a godparent, who will help you with the practical and
administrative aspects of daily life during your first 6 months.

And the second most important person after you, your mentor, who will guide you
through your entire onboarding and career at ERNI. You will have regular 1:1
meetings with them, and recurrently,



you will work on your development plan to
define your short-, medium-, and long-term goals.

At ERNI, we highly value experience and technical knowledge. As a senior
profile, you will have the space to continue growing, whether by deepening your
technical skills or having greater influence on project decisions, with autonomy
and the opportunity to share knowledge with other experts.
And if you are interested in mentoring, there is also space for that: supporting
other ERNIans while still focusing on the technical excellence that sets us
apart.

What you will bring ?

• Strong software engineering experience building production-grade applications
using Python as the primary language, with additional experience in TypeScript,
Node.js, FastAPI, Java or Rust.

• Hands-on experience developing LLM-powered applications using Azure OpenAI,
OpenAI, Azure AI Services, Amazon Bedrock, Gemini or Anthropic, inclu

📌 Senior AI Engineer (Madrid)
🏢 ERNI Spain
📍 Madrid