Senior GenAI Python Engineer, GenAI Safety and Quality

Senior GenAI Python Engineer, GenAI Safety and Quality

Trimble

Remote, Europe

We are looking for a passionate Senior GenAI Engineer to join our team in designing and building mission-critical tools that ensure safety and assess the quality of LLM-based agentic applications. Your work will be fundamental in scaling our AI initiatives responsibly, ensuring we maintain the highest standards of safety and reliability.

Your mission…

• Application Development and System Design: Design and build cloud-native web applications with a focus on scalability and performance, particularly for AI safety and quality assessment and monitoring;
• Quality Assurance: Write and maintain comprehensive test suites for our team’s safety and quality assessment platforms, perform thorough system integration testing, and ensure high-quality deployments of our tools;
• Team Collaboration: Work closely with business analysts, product managers, and development teams across the organization;
• Development Operations: Manage code using GitHub Workflows and Actions, and implement automated CI/CD pipelines for efficient deployments;
• Project Management: Monitor and communicate project risks, progress, and key metrics to stakeholders.

What you bring with…

• 5+ years of systems software engineering experience and demonstrated ability to work independently on complex projects;
• Proven track record of building standardized, scalable systems that can be effectively maintained and expanded;
• Strong proficiency in Python programming with frameworks and best practices, plus strong problem-solving skills and understanding of data structures and system design;
• Experience with version control (Git) and GitHub CI/CD pipelines, demonstrating ability to maintain and deploy code effectively;
• Experience with Azure Cloud platform and its key services;
• Hands-on experience developing and deploying Generative AI applications, including integration with LLM APIs and vector databases, with demonstrated ability to stay current with latest advancements in fine-tuning, RLHF, RAG, and prompt engineering frameworks (such as LangChain and LangGraph);
• Experience with Responsible AI practices and LLM evaluation tools such as DeepEval and Giskard;
• Excellent communication and documentation skills, including ability to explain technical concepts to non-technical stakeholders, create clear API specifications, implementation guides, system architecture documentation, and collaborate effectively in a global team with minimal supervision.

Apply Now