About this role
The team is seeking an experienced and talented AI Quality Engineer to join their team. In this role, you will be responsible for validating cutting-edge artificial intelligence solutions across various domains, including generative AI, conversational AI, and predictive AI. You will work with advanced technologies hosted in AWS, ensuring high-quality deliverables that meet customer expectations.
Key Responsibilities:
- Validate AI solutions, ensuring they meet functional and performance requirements.
- Collaborate with cross-functional teams to define testing strategies and methodologies.
- Design and implement automated testing frameworks for AI applications.
- Analyze test results and provide actionable insights to improve product quality.
- Stay updated with the latest trends in AI and testing methodologies.
Required Skills & Qualifications:
- Strong experience with AWS services including EC2, S3, Lambda, Athena, DynamoDB, OpenSearch, CloudWatch, GLUE, Bedrock, SageMaker, Kendra, Amazon Q, and Claude from Anthropic.
- Proficiency in programming languages such as Python.
- Familiarity with frameworks like Langchain and Streamlit.
- Solid understanding of AI concepts and testing practices.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5-8 years of experience in quality engineering, specifically in AI applications.
What we offer:
- An opportunity to work on innovative AI solutions in a dynamic environment.
- Collaborative team culture with a focus on professional growth.
- Access to the latest tools and technologies in the AI field.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.