Senior GenAI Engineer Databricks (mf)

Ultra Tendency; Madrid; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading data engineering consultancy is seeking a Senior GenAI Engineer in Madrid to design and implement AI solutions on the Databricks Lakehouse Platform. The role focuses on building robust ML pipelines and collaborating with teams to deliver data-driven innovations. Ideal candidates will have strong skills in GenAI tools like OpenAI and Python, along with experience in production environments. This position offers flexible work options, fostering a supportive community across three continents with ample growth opportunities.

Servicios

Flexible work options

Individual development plan

Paid certifications

Formación

• 5+ years of experience in solution engineering or similar technical roles.
• Experience building and deploying GenAI solutions in production environments.
• Professional communication in Spanish & English (C1-level).

Responsabilidades

• Lead the design of GenAI solutions on the Databricks Lakehouse Platform.
• Build and maintain RAG pipelines including text preprocessing and retrieval.
• Collaborate with stakeholders to build impactful GenAI use cases.

Conocimientos

GenAI tools experience

Python skills

Collaboration skills

Herramientas

Databricks

OpenAI

Hugging Face

Descripción del empleo

Our Engineering community is growing and were now looking for a Senior GenAI Engineer - Databricks (m / f / *) to join our team in Spain supporting our global growth.

As a Senior GenAI Engineer (m / f / *) you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakehouse Platform. Your focus will lie in building robust ML pipelines enabling GenAI capabilities and delivering production‑grade solutions that support data‑driven innovation at scale.

WHAT WE OFFER

• Flexible work options including fully remote or hybrid arrangements (candidates must be located in Spain)
• A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
• Contribute your ideas to our unique projects and make an impact by turning them into reality
• Balance your work and personal life through our workflow organization and decide yourself if you workat home in the office or on a hybrid setup
• Annual performance review and regular feedback cycles generating distinct value by connecting colleagues through networks rather than hierarchies
• Individual development plan professional development opportunities
• Educational resources such as paid certifications unlimited access to Udemy Business etc.
• Local virtual and global team events in which UT colleagues become acquainted with one another

WHAT YOU'LL DO

• Design and implement GenAI solutions on the Databricks Lakehouse Platform leveraging LLMs, embedding models and vector search capabilities.
• Build and maintain RAG pipelines including text preprocessing, embedding generation and retrieval using vector databases.
• Work with Databricks Foundation Model APIs, MLflow and other AI tooling to prototype and deploy GenAI applications.
• Collaborate with data engineers, ML engineers and business stakeholders to build impactful GenAI use cases (e.g. chatbots, document Q&A, code assist, summarization).
• Evaluate and fine‑tune foundation models, manage prompt engineering and optimize performance.
• Contribute to the development of GenAI best practices across model selection, security, governance and cost‑efficiency.

WHAT YOU'LL BRING

• 35 years of experience in solution engineering or similar hands‑on technical roles.
• Hands‑on experience with GenAI tools and frameworks such as OpenAI, Hugging Face, Transformers, LangChain or similar.
• Experience building and deploying GenAI solutions in production or experimental environments.
• Familiarity with Databricks AI / GenAI stack (Foundation Model APIs, MLflow, Unity Catalog, Vector Search).
• Strong Python skills and good understanding of LLMs, tokenization, embedding models and prompt engineering.
• Comfort working with unstructured data (text documents, JSON) and modern GenAI architectures (RAG, LLMOps).
• Excellent collaboration and communication skills to work across AI, data and product teams.
• Professional Spanish & English communication skills (C1-level written and spoken).

NICE TO HAVE

• Experience implementing retrieval‑augmented generation (RAG) pipelines using vector databases (e.g. FAISS, Chroma, Weaviate).
• Familiarity with Lakehouse AI Unity Catalog for GenAI governance and Databricks MosaicML.
• Background in NLP, question answering, summarization or GenAI product development.

Did we pique your interest or do you have any questions?

We want to hear from you : contact us at

ABOUT US

Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices. We design, build and operate large‑scale data‑driven applications for major enterprises such as the European Central Bank, HUK‑Coburg, Deutsche Telekom and Europe’s largest car manufacturer. Founded in Germany in 2010, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.

We do more than just leverage tech – we build it. At Ultra Tendency we contribute source code to 20 open‑source projects including Ansible, Terraform, NiFi and Kafka. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot.

We love the challenge: together we tackle diverse and unique projects you will find nowhere. Our knowledge community you will be a part of a supportive network, not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work‑life balance.

Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, nationality or social origin, disability, sex, sexual orientation or age.

Data privacy statement : Data Protection for Applicants Ultra Tendency

Employment Type : Full Time

Experience : years

Vacancy : 1