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Posted 5h ago•Greater Boston Area
QA Engineer-AI Native Quality
MiddleOn-site (Boston)Salary undisclosed
Required Skills
PythonNext.jsLLMs
Job Description
QA Engineer, AI-Native Quality
Newton Research · Research & Development · Boston / Needham, MA
Company Description
Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.
About the Role
Newton ships on a sprint cadence through a develop, stage and customer-environment pipeline, and the product surface is wide: conversations, blueprints, connectors, scheduled tasks, permissions and sharing, SSO, and AI agents whose behavior is not fully deterministic. A missed regression lands in front of a media planner or a customer's security review.
We run everything through an AI-first lens, because it is the only way quality scales. If a quality task is repeatable, an agent does it and you supervise; if it takes judgment, that is where you spend your time.
The gap this hire fills: evals and skill-chang
Newton Research · Research & Development · Boston / Needham, MA
Company Description
Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.
About the Role
Newton ships on a sprint cadence through a develop, stage and customer-environment pipeline, and the product surface is wide: conversations, blueprints, connectors, scheduled tasks, permissions and sharing, SSO, and AI agents whose behavior is not fully deterministic. A missed regression lands in front of a media planner or a customer's security review.
We run everything through an AI-first lens, because it is the only way quality scales. If a quality task is repeatable, an agent does it and you supervise; if it takes judgment, that is where you spend your time.
The gap this hire fills: evals and skill-chang
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