Senior GenAI Engineer

Job Location: Europe Remote

Our Department: Transporeon , Product & Platform

Are you a GenAI Engineer that wants to be at the heart of design, implementation and testing of software application including LLM-based agents using the Transporeon technology stack ?

About Us

Trimble is an industrial technology company transforming the way the world works by delivering solutions that enable our customers to thrive. We create technologies that connect the digital and physical worlds, helping our customers increase productivity, quality, safety, and sustainability. From purpose-built products to enterprise-level solutions, our technology empowers professionals in construction, geospatial, government, transportation, and more.

In the Transportation & Logistics segment (Transporeon), our solutions make it safer, simpler and more efficient to move freight—bringing together a global network of shippers, carriers, brokers and 3PLs.

What Makes This Role Great

This isn't just another engineering role - you will be the technical catalyst for Generative AI within Transporeon’s Product & Platform team. You will have the unique opportunity to bridge the gap between high-level AI research and scalable, production-ready microservices, directly influencing the intelligence of a global logistics network.

Key Exciting Responsibilities:

• Lead GenAI Innovation: Architect and implement Generative AI features leveraging Large Language Models (LLMs), RAG frameworks, and agent orchestration.

• Design Scalable Systems: Translate complex product requirements into modular, cloud-native software designs using modern microservices principles.

• Modernize the Stack: Contribute to the continuous evolution of our platform using Java, Kafka, and cloud-native best practices (AWS/Azure).

• Drive Engineering Excellence: Mentor junior engineers, conduct deep-dive code reviews, and advocate for high-quality, testable, and maintainable source code.

• Bridge Design & Production: Collaborate in cross-functional agile squads to launch production-ready applications that solve real-world transportation challenges.

Essential Skills & Experience:

• Technical Foundation: 5+ years of professional experience in software delivery with a strong background in Java and language internals.

• GenAI Proficiency: Proven experience using LLMs for code development, debugging, and optimization, with an understanding of AI-driven feature architecture.

• Architectural Expertise: Deep knowledge of REST APIs, Messaging frameworks (Kafka), and both SQL/NoSQL database design.

• Cloud & Linux Mastery: Extensive experience with AWS or Azure, including Infrastructure as Code and expert-level Linux proficiency (Git, SSH).

• Educational Background: BE/BTech/ME/MTech or M.S. in Computer Science or a related engineering field.

Bonus Points For:

• Experience with Databricks or Datadog for monitoring LLM performance.

• Prior experience in the Transportation or Logistics industry.

• Contributions to open-source GenAI projects or RAG framework research.