Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
As part of the interview process, we ask you to submit a short report or demo of an AI agent you’ve built. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.
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.
.svg)
