Founding Full-Stack Engineer - Takt
About The Position
Our Vision: A world where factories think. Takt is building the brains of factories. Factories have spent the last decade digitizing: adding sensors, software, and dashboards everywhere. Yet most factories aren’t meaningfully smarter. Data is fragmented across disconnected systems, locked in reports, and dependent on tribal knowledge living in people’s heads. The hard problem isn’t collecting data, it’s turning it into institutional intelligence. Takt is building the brains of factories. We’re closing the loop from data → information → insight → action by orchestrating AI agents with deep operational context across the entire manufacturing stack. These systems reason about what’s happening, why it’s happening, and what to do next, acting as a continuous thought partner to factory leadership across sales, operations, supply chain, and finance. This is not a chatbot or another analytics layer. We’re pushing the frontier of AI reasoning and decision-making in real-world, high-stakes environments. Just as Tesla redefined the car as a software-first system, Takt is redefining manufacturing as a software-defined industry. You will be the first engineering hire and will work directly with the founders to build the core intelligence engine that powers modern factories. You will help design, build, and deploy systems across the entire stack and influence the earliest product, infrastructure, and architecture decisions. This role is for someone who wants deep ownership and real long-term impact.
Requirements
- Experience deploying and maintain full stack production grade code at scale to support 50-100 enterprise customers with minimal downtime
- Strong cloud infrastructure skills (Azure preferred).
- Deep experience with data pipelines, especially cleaning messy, inconsistent real-world data
- AI-native in approach to coding utilizing new-age tools (e.g. Claude Code) to develop with speed.
- Strong generalist coding skillset especially on the back-end side.
- 2-3 years minimum prior experience
Nice To Haves
- Experience shipping production AI/ML or LLM systems end-to-end (not research prototypes).
- Comfortable owning LLM tool orchestration, chain design, agent delegation, prompt engineering, and evaluation methodology.
- Hands-on experience integrating with enterprise systems like ERP, MES, and other data historians (Microsoft Business Central/ SAP)
- Working knowledge of relational + SQL databases
- Familiarity with per missioning models, data governance, or SOC2/GDPR.
- Experience engaging with IT teams and meeting security requirements for enterprise customers.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
