Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search
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Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility
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Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems
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Design and implement data pipelines to ingest, process, and analyze large volumes of data
What we’re looking for
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Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)
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Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features
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Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems
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Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders