QA Engineer

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QA Engineer

We are seeking a detail-oriented QA Engineer to validate the performance of Bedrock-powered agents and models in the system, ensuring quality, consistency, and reliability across all AI-driven features within our platform.

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Job title

QA Engineer

Base

Pune / Remote

Hours per week

39 Hours

Probation period

3 months

Salary

Full Time

Annual Leave

25 days (plus Bank Holidays)

About us:

Spendkey collects, cleans, and enriches data from documents and systems so that you can analyse spend, compare contracts and invoices, share insights, make recommendations, and get things done.  

Spendkey is an AI-powered spend data platform with autonomous sourcing and negotiations.  

Takes proactive steps to control spend, makes timely decisions and negotiates better deals with automated tasks that reduce supply risk, cut costs, enhance quality and improve sustainability and performance. 

About the role:

As a QA Engineer, you will be instrumental in validating the performance of Bedrock-powered agents and models in the system, ensuring quality and consistency across AI-driven features.

Key responsibilities:

• Develop and execute test cases for Amazon Bedrock-powered AI agents and features.
• Perform performance and security testing on GenAI components.
• Collaborate with the Development and AI/ML teams to ensure AI models meet the required performance and accuracy levels.

Qualifications:

• 3-4 years of experience with test automation tools for AWS-based services.
• Education: Minimum Bachelor's degree in a relevant technical field such as Computer Science, Engineering, Information Technology, Data Engineering, or AI.

‍

Preferred Skills:

• Familiarity with testing AI/ML models and validating outputs from foundation models.
• Ability to work with CI/CD pipelines to ensure continuous testing and integration.

Location:

Pune / Remote

Apply Now

Job title

QA Engineer

Base

Work form home

Hours per week

39 Hours

Probation period

3 months

Salary

£25,000

Annual Leave

25 days (plus Bank Holidays)

About us:

At Spendkey, we believe in the transformative power of insights, which is why we go beyond simple dashboards and reporting. We exist to help companies confidently navigate the complex world of spend and supplier management to enable success in today’s competitive business environment.

Our mission is to empower businesses to harness their data and unlock hidden insights to make data-informed decisions that achieve their strategic business goals. We do this through innovation and collaboration, with a passion for accuracy and delivering value for our customers.

Spendkey is a spend strategy platform that helps organisations transform data and documents into profit-driving recommendations and clear actions. Spendkey combines market intelligence and AI technology to extract the full potential of business data, driving success and growth for organisations of all sizes and industries.

Spendkey integrates a comprehensive suite of capabilities, including spend analytics, contract management, category management, market intelligence, negotiation strategies, risk management, and generative AI tools such as our Document Analyser and Cassian AI—all working together to drive profitable business growth. Our AI-powered spend strategy platform empowers businesses to have smarter spend conversations, develop cost-saving strategies, and establish a healthy spend culture.

Founded in 2020, Spendkey has gained trust among businesses across various industries, including pharmaceuticals, manufacturing, fintech, healthcare, wealth management, consulting, and more.

Spendkey is headquartered in the United Kingdom, and we also have a subsidiary, Spendkey India Private Limited, operating in Pune, India.

About the role:

As a QA Engineer, you will be instrumental in validating the performance of Bedrock-powered agents and models in the system, ensuring quality and consistency across AI-driven features.

Key responsibilities:

• Develop and execute test cases for Amazon Bedrock-powered AI agents and features.
• Perform performance and security testing on GenAI components.
• Collaborate with the Development and AI/ML teams to ensure AI models meet the required performance and accuracy levels.

Requirements

Spendkey collects, cleans, and enriches data from documents and systems so that you can analyse spend, compare contracts and invoices, share insights, make recommendations, and get things done.  

Spendkey is an AI-powered spend data platform with autonomous sourcing and negotiations.  

Takes proactive steps to control spend, makes timely decisions and negotiates better deals with automated tasks that reduce supply risk, cut costs, enhance quality and improve sustainability and performance. 

Qualifications:

• 3-4 years of experience with test automation tools for AWS-based services.
• Education: Minimum Bachelor's degree in a relevant technical field such as Computer Science, Engineering, Information Technology, Data Engineering, or AI.

‍

Apply Now

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