Gen AI Engineer

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.

How to Apply

Excited to join the team? Submit your application via www.torm.com/careers by 21 September 2026.

We look forward to hearing from you!