Production AI Agent Engineer for Energy Analytics

DNV; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Medical Scheme

Life Insurance

Pension Plan

Home working allowance (up to 2 days a

Job summary

DNV in the United Kingdom seeks an AI Engineer specializing in agentic systems to design, build, productise and evolve generative AI capabilities within Horizon, our cloud platform for renewable energy asset monitoring and analytics.

You will build production‑grade AI agents that interact with Horizon data, analytics, algorithms, APIs, documentation, and operational workflows, supporting assets and trading decisions at scale.

Qualifications

• Master's degree or equivalent practical experience in CS/AI/ML/data science or related field.
• 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.

Responsibilities

• Design and implement a scalable architecture for role-based AI agents, including agents supporting Asset Management, Asset Ownership, O&M, predictive maintenance, trading, and analytical workflows.
• Define agents responsibilities, tools, interaction patterns, task delegation, context sharing, and hand-offs between specialised agents.
• Integrate agents with diverse 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, working with software and platform engineers.
• Collaborate with renewable energy domain experts to ensure that agent outputs are technically meaningful, evidence-based, and appropriate for operational decision-making.
• Stay informed about developments in LLMs, agent orchestration, multimodal systems, evaluation, and AI engineering, and assess them pragmatically for production use.

Skills

AI agents

RAG

Python

API integration

Git CI/CD Docker

English communication

Education

Master's degree in Computer Science / AI / ML / Data Science / Mathematics or related field

Tools

Docker

Git

Kubernetes

ClickHouse

MongoDB

Time-series databases

Job description

DNV in the United Kingdom seeks an AI Engineer specializing in agentic systems to design, build, productise and evolve generative AI capabilities within Horizon, our cloud platform for renewable energy asset monitoring and analytics.

You will build production‑grade AI agents that interact with Horizon data, analytics, algorithms, APIs, documentation, and operational workflows, supporting assets and trading decisions at scale.