The Lead AI Engineer will design and deploy production-grade agentic systems that execute real-world actions with human-in-the-loop controls. They will own the end-to-end agentic function, including architecture, retrieval engineering, and the growth of the technical team.
UP.Labs
11 Remote Job Openings at UP.Labs
Design, build, and maintain scalable production-grade data pipelines and platforms to power AI/ML models and agentic workflows. Collaborate with product and engineering teams to translate ambiguous requirements into robust data solutions and optimize workload performance.
Build and operate a repeatable security control baseline across multiple venture applications to ensure SOC 2 readiness. Translate enterprise customer security requirements into practical technical controls and operational workflows.
The role involves reviewing email correspondence, invoices, and system outputs to ensure data accuracy and logical consistency. The analyst will identify inconsistencies and report reproducible issues to the engineering team to maintain financial data integrity.
Lead Software Engineer - Stealth AI Manufacturing Planning Startup
UP.Labs
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Full Time
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a month ago
UP.Labs
Design and build the core backend infrastructure and optimization algorithms for an AI-driven manufacturing planning platform. Establish engineering standards and lead the technical team as the company scales from MVP to production.
Head of Engineering - Stealth AI Industrial Commerce Startup
UP.Labs
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Full Time
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2 months ago
UP.Labs
Lead and grow the engineering team while architecting a core AI-powered identification and commerce platform for the industrial aftermarket. Own the technical vision, data infrastructure, and mobile-first product experience from MVP to enterprise scale.
Chief of Staff - Stealth AI Manufacturing Planning Startup
UP.Labs
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Full Time
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2 months ago
UP.Labs
Build and oversee internal operational infrastructure, back-office functions, and KPIs for a stealth AI manufacturing startup. Act as the primary link between enterprise customers and the product team to drive adoption and inform the product roadmap.
Lead the data science, analytics, and data engineering efforts for venture start-ups, turning raw concepts into functional MVPs. Collaborate with product and engineering teams to design data pipelines and implement scalable AI/ML solutions.
Design, build, and scale backend services and APIs to power new venture products. Collaborate on cloud infrastructure and DevOps practices to ensure operational excellence and performance.
Design, train, and deploy AI/ML systems focusing on computer vision and LLM-powered workflows for industrial applications. Translate ambiguous business problems into production-ready AI solutions and collaborate with cross-functional teams to ship MVPs.
The role involves serving as the founding CEO, setting strategic direction, building the executive team, and taking full ownership of operational outcomes including P&L and Go-To-Market execution. Responsibilities also include translating complex industrial problems into software solutions and leading the company through growth and eventual exit.
