Forward Deployed Engineer - Data & Ai - Global M
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Role details
Tech stack
Job description
Forward Deployed Engineer - Data & AIRemote across European time zones · Full-timeAn early-stageAI & Data companyis looking for a Forward Deployed Engineer to work at the intersection ofAI, data, product and customers.You’ll build production solutions that solve real customer problems, while helping shape the core product.This includes building AI agents, data pipelines, integrations, PoCs and evaluation frameworks, as well as working directly with enterprise customers.What we’re looking for5+ yearsof software/data/AI engineering experienceStrongPython, SQL and data engineeringskillsEither aData Engineer with AI/agent experienceorAI Engineer with strong data experienceExperience building and shippingproduction systems end-to-endUnderstanding ofAI evaluation and probabilistic systemsStrong communication and stakeholder management skillsComfortable working inambiguous, fast-moving startup environmentsCommercial mindset - focused oncustomer outcomes and ROI, not just technologyYou’ll typically spend around40% with customers and 40% building the core product, with significant ownership and influence over what gets built.
Requirements
5+ yearsof software/data/AI engineering experience StrongPython, SQL and data engineeringskills Either aData Engineer with AI/agent experienceorAI Engineer with strong data experience Experience building and shippingproduction systems end-to-end Understanding ofAI evaluation and probabilistic systems Strong communication and stakeholder management skills Comfortable working inambiguous, fast-moving startup environments Commercial mindset - focused oncustomer outcomes and ROI, not just technology You’ll typically spend around40% with customers and 40% building the core product, with significant ownership and influence over what gets built.
Benefits & conditions
An early-stageAI & Data companyis looking for a Forward Deployed Engineer to work at the intersection ofAI, data, product and customers. You’ll build production solutions that solve real customer problems, while helping shape the core product. This includes building AI agents, data pipelines, integrations, PoCs and evaluation frameworks, as well as working directly with enterprise customers.
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