Описание
DNV is an independent expert in assurance and risk management. Its Energy Systems division helps customers navigate the transition to a decarbonized and sustainable energy future by assuring that energy systems operate safely and effectively through increasingly digital solutions. Digital and Data Solutions develops software and data-driven solutions for energy, infrastructure, and sustainability, including Horizon, a cloud platform for renewable energy asset monitoring, analytics, optimization, and decision support.
Задачи
- Design and implement scalable architecture for role-based AI agents supporting asset management, asset ownership, O&M, predictive maintenance, trading, and analytical workflows
- Define agent responsibilities, tools, interaction patterns, task delegation, context sharing, and hand-offs between specialized agents
- Integrate agents with Horizon data sources, including operational time-series data, alarms, events, asset metadata, analytical results, forecasts, reports, logbooks, and technical documentation
- Build evaluation frameworks and representative test datasets covering answer quality, groundedness, tool selection, workflow completion, hallucination risk, safety, regression, latency, and operational reliability
- Implement observability and traceability across agent execution, including 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 agent outputs are technically meaningful, evidence-based, and appropriate for operational decision-making
- Assess developments in LLMs, agent orchestration, multimodal systems, evaluation, and AI engineering for production use
Требования
- 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 communication skills and fluency in written and spoken English
- Ownership of projects, clear communication of complex AI concepts to technical and non-technical stakeholders, and adaptability in collaborative, fast-moving environments
- Nice to have: Experience deploying AI workloads on Kubernetes, self-hosted LLMs and model serving, ClickHouse, MongoDB, vector databases, and time-series data platforms
Условия
- Medical Scheme
- Life Insurance
- Pension Plan
- Home working allowance of up to 2 days per week
- Employee Referral scheme
- Coaching, mentoring, international networks, individual competence development plans, and tailored training
- Background checks will be conducted on all final candidates as part of the offer process
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ai engineer for renewable energy assets employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
