
AI Engineer - Agentic Systems
Det Norske Veritas (DNV)4 days ago
Barcelona, SpainSenior
Responsibilities
- Design and implement scalable architectures for role-based AI agents and multi-agent workflows.
- Define agent responsibilities, tools, interaction patterns, delegation, context sharing, and hand-offs.
- Integrate agents with Horizon operational data, analytics, forecasts, reports, logbooks, documentation, APIs, and workflows.
- Build evaluation frameworks and test datasets covering quality, groundedness, tool selection, workflow completion, hallucination risk, safety, regression, latency, and reliability.
- Implement observability and traceability for prompts, retrieved context, tool calls, model responses, decisions, failures, and user feedback.
- Deploy and operate AI services in production with software and platform engineers.
- Collaborate with renewable energy domain experts to ensure outputs are technically meaningful and appropriate for operational decisions.
- Assess developments in LLMs, agent orchestration, multimodal systems, evaluation, and AI engineering for production use.
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, 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 written and spoken English communication skills.
- Preferred experience deploying AI workloads on Kubernetes and working with self-hosted LLMs and model serving.
- Preferred familiarity with ClickHouse, MongoDB, vector databases, and time-series data platforms.
- Curiosity, adaptability, proactive ownership, collaborative working style, and the ability to communicate complex AI concepts clearly.
- Applicants must submit a short report or demo of an AI agent they have built.
Benefits
- Medical scheme, life insurance, and pension plan.
- Home working allowance of up to 2 days per week.
- Coaching, mentoring, international networks, and tailored technical training.
- Employee referral scheme.
- Collaborative working environment with experienced industry professionals.
- Background checks are conducted for final candidates in accordance with applicable laws.