We're hiring for high-impact roles at the intersection of manufacturing and AI. If this sounds like a problem you want to work on, we'd love to hear from you.
Engineering · Full Time & Part Time · Hybrid & remote
We're looking for a Fullstack Developer who can build across the stack in TypeScript, ship production-grade features, and think in systems. You'll be the second engineering hire and work closely with the founders and early team to turn real-world manufacturing workflows into product experiences that operators and leadership trust...
Must-haves: TypeScript (frontend + backend) · React + Node.js/Express · SQL + REST or GraphQL · Git workflows. Nice-to-haves: Next.js · Auth (JWT/OAuth) · Docker · Testing.
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engineering · Full Time & Part Time · hybrid
Heliqon is building the intelligence layer for manufacturing. We're looking for a Manufacturing Solutions Architect who can bridge our AI platform and the real-world challenges manufacturers face every day. You'll work directly with customers and prospects to understand their operations, then collaborate with our product and engineering teams to shape how Heliqon solves those problems...
Required: 5–8 years in manufacturing environments · ERP/MES/SCADA/PLC experience · System integration or digital transformation background · Willingness to travel. Nice-to-haves: AI/ML exposure · Industrial protocols (OPC UA, MQTT) · Lean / Six Sigma · Solutions engineering background.
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Data & AI · Full Time or Part Time · Hybrid & remote
We’re hiring a Principal AI & Data Architect to design the foundation Heliqon stands on — the ontology framework, knowledge graph engine, LLM stack, and databases that let each manufacturer model their own operations and run a system that reasons, plans, and adapts on top of it. This is a senior individual-contributor role for someone who thinks in graphs, treats data architecture as a research problem, and understands the difference between a model and the framework that produces one.
Required: Expertise in ontologies & knowledge graphs · LLM architecture at production scale · Graph, relational, vector & time-series databases · PhD/MS or equivalent. Nice-to-haves: Manufacturing domain experience · Optimization & simulation · Published AI/graph research.
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