Production AI Engineer: Agentic Systems for Renewables

DNV; Gdynia; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medical Scheme

Commuting Allowance

Life Insurance

Pension Plan

Kindergarten Allowance

Flexible schedule

Home working allowance

23 days of annual leave

Employee Referral scheme

Job summary

DNV is seeking an AI Engineer specializing in agentic systems to design, build, productise, and evolve generative AI capabilities within Horizon, a cloud platform for renewable energy asset monitoring, analytics, optimisation, and decision support.

This hands‑on, product‑focused role develops production‑grade AI agents that interact with Horizon data, analytics, and workflows, enabling role‑based multi‑agent systems for asset managers, owners, O&M managers, traders, and analysts.

Qualifications

• 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 (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.
• Strong communication skills and fluency in written and spoken English.

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

Python

RAG / embeddings

Vector search

Prompt engineering

Docker

Git / CI/CD

API integration

English communication

Education

Master's degree in CS/AI

Tools

Kubernetes

ClickHouse

MongoDB

Vector databases

Job description

DNV is seeking an AI Engineer specializing in agentic systems to design, build, productise, and evolve generative AI capabilities within Horizon, a cloud platform for renewable energy asset monitoring, analytics, optimisation, and decision support.

This hands‑on, product‑focused role develops production‑grade AI agents that interact with Horizon data, analytics, and workflows, enabling role‑based multi‑agent systems for asset managers, owners, O&M managers, traders, and analysts.