Gen AI Engineer

TORM A/S

Gentofte Kommune

On-site

DKK 900,000 - 1,200,000

Full time

11 days ago
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Benefits offered by this job

Bonus scheme
Flexible work arrangements
Learning opportunities

Job summary

TORM seeks a hands-on GenAI engineer to design and build production-grade GenAI and agentic solutions across fleet and shore-based operations. You will work with Databricks, LangChain, and open-source RAG frameworks to deliver end-to-end GenAI capabilities.

Your role includes shaping architecture decisions, improving prompts, and collaborating with senior engineers to align AI tooling with business workflows. Strong Python, API design, and cloud experience are essential.

Qualifications

  • At least 3 years experience in AI/ML, data, or software engineering delivering GenAI solutions.
  • Strong experience with Databricks including Unity Catalog and vector search
  • Hands-on with LangChain, LlamaIndex, or Agent Bricks for RAG/agentic solutions
  • Strong Python and production-grade software engineering fundamentals
  • Experience evaluating and monitoring LLM/agentic apps including observability and performance
  • Experience building APIs with FastAPI or similar frameworks
  • Working knowledge of Azure cloud services and PostgreSQL or similar databases
  • Fluent in English, both written and spoken

Responsibilities

  • Design, build, and maintain GenAI/RAG apps on Databricks and related tooling
  • Develop agentic solutions using Databricks Agent Bricks for multi-step reasoning
  • Create and optimize RAG pipelines with open-source frameworks
  • Refine prompts and agent guidelines for accuracy and reliability
  • Monitor model/agent performance and optimize latency and cost
  • Run evaluations to measure quality, accuracy, and reliability
  • Set up observability for agentic apps and APIs using OpenTelemetry
  • Expose GenAI/agentic capabilities via APIs (FastAPI)
  • Model data workflows and integrate with PostgreSQL databases
  • Apply solid software design and architecture principles for scalable, production-ready systems
  • Contribute to strategic AI initiatives and roadmap planning

Skills

Databricks
Python
API design
LLM evaluation
Observability
Data modeling
LangChain
LlamaIndex
Agent Bricks
PostgreSQL

Tools

Databricks
LangChain
LlamaIndex
Agent Bricks
FastAPI
PostgreSQL
Azure

Job description

Join TORM to build production-grade GenAI and agentic solutions based on enterprise-scale data platforms in real operational workflows across fleet and shore-based operations.

At TORM, our corporate and technology teams work closely together to move the business forward through innovation and intelligent automation. By combining technical skills with a collaborative mindset, we build scalable, reliable GenAI solutions that support real operational workflows across the organization.

As a Gen AI Engineer, you'll design and build GenAI/RAG applications and agentic solutions on Databricks (including Agent Bricks), work with open-source RAG frameworks, and contribute to the team's broader AI strategy and roadmap, working alongside experienced engineers to deliver reliable solutions for fleet and shore-based operations.

Your Role: Make an Impact

In this role, you'll be part of a Data & AI team, building and scaling GenAI, RAG, and agentic solutions end-to-end. You'll work closely with senior engineers on architecture decisions and help shape the team's strategic direction on emerging AI tooling.

Key Responsibilities
  • Design, build, and maintain GenAI/RAG applications on Databricks (Unity Catalog, vector search, model serving, Knowledge Assistant-style architectures)
  • Build agentic solutions using Databricks Agent Bricks and related tooling to automate multi-step reasoning and decision workflows
  • Build and optimize RAG pipelines using open-source frameworks (e.g., LangChain, LlamaIndex, or similar), including chunking, embeddings, and retrieval tuning
  • Design and refine system prompts and agent guidelines for accuracy and reliability across multi-turn interactions
  • Monitor and improve model/agent performance - context retention, latency, and cost optimization
  • Set up and run evaluations for agentic/LLM solutions to continuously measure quality, accuracy, and reliability
  • Set up observability (tracing, logging, metrics) for agentic applications and APIs, preferably using Open Telemetry
  • Design and build APIs using FastAPI (or a similar modern framework) to expose GenAI/agentic capabilities to other systems
  • Design data models and integrate with transactional databases (e.g., PostgreSQL) supporting GenAI/agentic applications
  • Apply sound software design and solution architecture principles to ensure GenAI/agentic systems are maintainable, scalable, and production-ready
  • Contribute to strategic initiatives - evaluating emerging GenAI trends, running POCs, and supporting roadmap planning
Your Profile

We're looking for a hands-on GenAI engineer who is curious about emerging AI tooling, enjoys solving production-scale problems, and is eager to contribute both technically and strategically in a collaborative, technology-driven environment.

To succeed in this role, you bring
  • At least three years of experience in AI/ML, data, or software engineering, with hands-on experience delivering GenAI solutions
  • Strong experience with Databricks (including notebooks, workflows/jobs, Unity Catalog, and ideally vector search)
  • Hands-on experience building RAG and agentic AI solutions using frameworks such as LangChain, LlamaIndex, Agent Bricks, or similar tools
  • Strong Python and software engineering fundamentals, including solution design and architecture for production-grade applications
  • Experience evaluating, testing, and monitoring LLM/agentic applications, including quality, accuracy, observability, and performance
  • Experience building and integrating APIs using FastAPI or similar frameworks
  • Working knowledge of Azure cloud services and PostgreSQL or similar relational databases
  • Strong analytical and problem-solving ability, with fluency in English, both written and verbal
Good to Have
  • Basic exposure to Microsoft Copilot Studio or a similar low-code conversational AI platform
  • Experience with multi-agent architectures or agent orchestration frameworks
  • Prior experience in a regulated or data-residency-sensitive environment (GDPR, EU data handling)
What We Offer

At TORM, we are committed to people, communities, and the environment. We offer a competitive salary along with a bonus scheme, pension, and flexible work arrangements to support a healthy work-life balance. You’ll have access to continuous learning and growth opportunities with a variety of initiatives, from e.g., Fun club, Family Day, Festival celebrations, CSR programs etc., that help you connect, grow, and thrive.

Diversity and inclusion are integral to our success. We welcome applicants from all backgrounds and value the perspectives they bring to our global organization.

We look forward to hearing from you!

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