Company profile
BrightLayer AI company profile and open IT jobs
BrightLayer AI develops workflow automation products for support, operations and analytics teams.
Company website →Company profile
BrightLayer AI develops workflow automation products for support, operations and analytics teams.
Company website →This profile explains who BrightLayer AI is, what kind of technology work it is connected with and which IT vacancies are currently open on JobFutures.
Candidates can use this company profile to compare hiring context before applying. Employers can use it as a model for clear public hiring pages.
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BrightLayer AI is hiring an AI Workflow QA Engineer to test automation flows, AI-assisted support features and internal productivity tools. This is not only classic regression testing: the role combines product QA, API validation, prompt-output review and practical test design for AI-enabled workflows. You will create test scenarios, verify edge cases, document expected behaviour, check API integrations and help the product team ship features that are useful, safe and understandable for operations teams.
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BrightLayer AI is looking for a Machine Learning Engineer to work on production software, internal tools and customer-facing product features. The role is focused on practical delivery, clear written communication and steady improvement of real systems. You will collaborate with product, design and engineering colleagues, improve existing flows and ship new functionality in small, reliable iterations. Typical responsibilities include planning technical tasks, writing maintainable code, reviewing pull requests, improving reliability, documenting decisions and helping the team keep delivery predictable.
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BrightLayer AI is looking for a Python Backend Developer to work on production software, internal tools and customer-facing product features. The role is focused on practical delivery, clear written communication and steady improvement of real systems. You will collaborate with product, design and engineering colleagues, improve existing flows and ship new functionality in small, reliable iterations. Typical responsibilities include planning technical tasks, writing maintainable code, reviewing pull requests, improving reliability, documenting decisions and helping the team keep delivery predictable.
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