AI Engineer - Agentic Systems

Barcelona, Spain (Hybrid)·Data & AI·Added 12 days ago

DNV

4 open roles

Apply at DNV

What they offer

Hybrid
Office and home days — the ad has the split.

What they ask for

Have the right to work in Spain
DNV doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Be near Barcelona, Spain (Hybrid) for hybrid days
No relocation package mentioned.

About the job

Requirements

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related field, or equivalent practical experience.
Proven experience building AI agents, agentic workflows, or AI assistants, preferably in production environments.
Experience with Retrieval-Augmented Generation (RAG), embeddings, vector search, and prompt engineering.
Strong Python software engineering skills and experience developing production-grade applications.
Experience integrating AI solutions with APIs, databases, and enterprise systems.
Familiarity with Git, CI/CD, Docker, and cloud-native development practices.
Strong communication skills and fluency in written and spoken English.

Nice to Have

Experience deploying AI workloads on Kubernetes.
Experience with self-hosted LLMs and model serving.
Familiarity with ClickHouse, MongoDB, vector databases and time-series data platforms.

You are curious, adaptable, and proactive, thriving in collaborative, fast-moving environments. You take ownership of projects, communicate complex AI concepts clearly to technical and non-technical stakeholders, and enjoy solving challenging real-world problems.

As part of the interview process, we ask you to submit a short report or demo of an AI agent you’ve built. This is your chance to showcase your hands-on skills and highlight your creativity.  

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

Original Advert

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. As a trusted voice for many of the world's most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

Our benefits package is specifically designed to support your physical, financial and social well-being:

Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry,
Receive guidance from colleagues through coaching, mentoring and participating in international networks,
Advance your professional skills and technical expertise, through individual competence development plans and tailored training,
Be part of a world growing and renowned organization with origins dating back to 1864.

Other than you can expect

Medical Scheme,
Life Insurance,
Pension Plan,
Home working allowance (up to 2 days per week),
Employee Referral scheme.

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

Requirements

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related field, or equivalent practical experience.
Proven experience building AI agents, agentic workflows, or AI assistants, preferably in production environments.
Experience with Retrieval-Augmented Generation (RAG), embeddings, vector search, and prompt engineering.
Strong Python software engineering skills and experience developing production-grade applications.
Experience integrating AI solutions with APIs, databases, and enterprise systems.
Familiarity with Git, CI/CD, Docker, and cloud-native development practices.
Strong communication skills and fluency in written and spoken English.

Nice to Have

Experience deploying AI workloads on Kubernetes.
Experience with self-hosted LLMs and model serving.
Familiarity with ClickHouse, MongoDB, vector databases and time-series data platforms.

As part of the interview process, we ask you to submit a short report or demo of an AI agent you've built. This is your chance to showcase your hands-on skills and highlight your creativity.