ai engineer for renewable energy assets

Enfint; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Medical Scheme

Life Insurance

Pension Plan

Home working allowance

Employee Referral scheme

Training & mentoring

Background checks

Job summary

DNV在伦敦设立的Energy Systems部门正在招聘高级AI工程师，聚焦面向资产管理与运维的AI代理解决方案。你将设计可扩展架构，定义代理职责及交互模式，并将代理与Horizon数据源无缝集成，支撑预测性维护及分析工作流。

职位要求具备生产环境中AI代理开发经验、Python编程能力以及对Git、CI/CD、Docker等工具的熟练使用，具备英语优秀的读写能力。欢迎有Kubernetes与时序数据库经验的候选人申请。

Qualifications

• 硕士/硕士以上学位，计算机科学、人工智能、数据科学、数学等相关领域
• 生产环境中构建AI代理、代理工作流、或AI助手的经验证据
• 具备检索增强生成、向量搜索和提示工程经验
• 具备Python软件工程技能，能开发生产就绪应用
• 具备将AI解决方案与API、数据库及企业系统集成的经验
• 熟悉Git、CI/CD、Docker及云原生开发
• 英语读写沟通能力优秀，能向技术与非技术人员清晰表达
• 具备将AI工作负载部署到Kubernetes、自主托管LLM及模型服务的优先技能

Responsibilities

• 设计并实现可扩展的基于AI代理的架构，支持资产管理、O&M、预测性维护等工作流
• 定义代理职责、工具、交互模式、任务分配及代理之间的上下文传递
• 将代理与Horizon数据源集成（时序数据、告警、资产元数据等）
• 建立评估框架和测试数据集，覆盖答案质量、工具选择、滞后与可靠性
• 实现跨代理执行的可观测性和可追溯性（ prompts、上下文、工具调用、决策等）
• 与软件与平台工程师共同在生产环境部署并运行AI服务
• 与能源领域专家合作，确保输出对运营决策具有技术性意义和证据支撑
• 关注LLMs、代理编排、多模态系统等前沿技术在生产中的应用与评估

Skills

Python

English

Коммуникации

AI выводы

Education

Master's degree in Computer Science / AI / Data Science

Tools

Git

CI/CD

Docker

Cloud-native development

Kubernetes

ClickHouse

MongoDB

Vector databases

Time-series platforms

Job description

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