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Senior AI Software Engineer

Global leader in continuous testing and quality engineering, providing AI-based continuous testing solutions for DevOps, cloud, and enterprise applications.
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
4+ years of experience
AI · Enterprise SaaS

Description For Senior AI Software Engineer

Tricentis, a global leader in continuous testing and quality engineering with over 1500 employees across 20 global offices, is seeking a Senior AI Software Engineer to join their innovative team. This role offers an exciting opportunity to work on cutting-edge Agentic AI and unstructured data access technologies within Tricentis' strategic technology pipeline. The position involves collaborating with highly skilled engineers and researchers to develop advanced QA AI agents for Tricentis customers.

As a Senior AI Software Engineer, you'll be at the forefront of adopting and implementing new AI technologies, applying them to solve real business problems. You'll work with cloud platforms, particularly AWS, and utilize your expertise in Python, Java, and modern development practices. The role combines deep technical work in AI/ML with practical software engineering, requiring both strong technical skills and excellent communication abilities.

The company culture emphasizes core values including self-awareness, commitment to completion, fast execution, embracing change, customer focus, collaborative problem-solving, and ambitious goal-setting. Tricentis offers a hybrid work environment and the opportunity to work with a global team serving over 2100 customers. This is an ideal position for someone passionate about AI development who wants to make a significant impact in the software quality assurance industry while working with cutting-edge technologies and contributing to enterprise-scale solutions.

Last updated 7 days ago

Responsibilities For Senior AI Software Engineer

  • Implement agentic AI solutions to address business problems
  • Contribute to estimates and research efficient solutions
  • Review implementations for AI technology strategy adherence
  • Ensure effective use of evals and promote good AI architecture
  • Work with core AI team on adopting and improving AI research results
  • Implement effective testing practices
  • Collaborate with product team members on AI integration
  • Provide feedback for team improvement

Requirements For Senior AI Software Engineer

Python
Java
Kubernetes
  • 4 years of experience with Python
  • 1-2 years of experience with Java
  • Experience with NLP, Classical AI, machine learning or data science
  • Experience working with cloud AI platforms
  • Experience in test automation
  • Experience with developing cloud services (AWS)
  • Experience with Docker and Kubernetes
  • Experience working in agile development teams
  • Good understanding of software engineering best practices
  • Familiarity with data pipelines and data management
  • Effective communication skills
  • Comfortable working directly with customers and support

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