Senior GenAI Engineer

As Senior GenAI Engineer you will be working on a team of highly skilled engineers and researchers, focused on bringing technologies in the space of Agentic AI and unstructured data access to bear in Tricentis’ strategic technology pipeline.

You will work with lead an engineering team, ensuring that Tricentis customers are provided with the highest quality, most advanced QA AI agents possible.

Your role within this initiative will be to be to work execute on our highest priority AI workstream.

You will be at the forefront of adopting new technologies, applying the latest technology to business problems, and work with a strong team to create best in class AI agents.

You will be responsible for implementing evaluation frameworks, agentic action models, and contributing to model training to our data science team.

Key Responsibilities:

Leadership and Mentoring:


* You will be responsible for contributing to other engineers knowledge through lunch and learns, or other knowledge sharing events.


* You actively involve yourself in corporate events, seeking opportunities to share your knowledge and uplift your peers

Applied Research


* You will be responsible for implementing agentic AI solutions to address business problems


* You will contribute to estimates, and research the most efficient solutions to accelerate our product journey


* You will review our implementations for adherence to the AI technology strategy


* You will ensure effective use of evals, and promote good AI architecture to enhance testability and transparency of the models

Implementation and Testing


* You will be responsible for running rapid experiments and communicating the results back to the product teams


* You will implement effective testing practices to unlock productivity and ensure ease of experimentation


* You will embed yourself in our domain and business problems, providing feedback to the product teams on how AI can accelerate their products


* You will speak up and provide feedback when you see opportunities for the team to improve

Required Skills & Qualifications:

Technical Expertise:


* 4 years of experience with Python


* 2 years of experience with NLP, Classical AI, machine learning or data science


* 1 year of experience working with and deploying language model based solutions


* 3 years of experience working with cloud AI platforms


* Strong knowledge of LangChain, LangGraph, or similar frameworks for building modular AI systems.


* Experience working with leading Agent frameworks


* Proven experience working with agent evaluation frameworks in production

Production Experience:


* Good understanding of software engineering best practices, including version control, CI/CD, and testing.


* Familiarity with data pipelines and data management techniques.


* Understanding of security and compliance standards within DevOps/SRE environments.


* Experience working with an...