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We're an early-stage, well-funded startup backed by a top-tier VC firm. We partner with Fortune 500 enterprises to deploy and scale agentic AI systems that actually work in production — not just in demos. You're part engineer, part technical advisor. Half your time is building — backend systems, automation workflows, agentic pipelines. The other half is working directly alongside enterprise clients to translate complex requirements into scalable architecture. This is a high-ownership role. You're shaping how systems get built from day one.
Job Responsibility:
Design and deploy scalable backend systems powering enterprise agentic AI
Work directly with Fortune 500 clients to turn business needs into technical architecture
Partner with product, research, and platform teams on end-to-end delivery
Build cloud-native services and automation workflows across AWS, GCP, or Azure
Contribute to open-source projects relevant to our platform and deployments
Help shape engineering culture as an early member of a fast-growing team
Requirements:
3+ years of backend or platform engineering experience
Strong systems design fundamentals
Proficiency in Python
experience with Rust or Go a plus
Solid understanding of cloud architecture and distributed systems
Comfort with ambiguity, high autonomy, and fast-moving environments
Genuine curiosity about agentic AI systems and modern open-source tooling
Ability and willingness to work directly with customers
Nice to have:
Experience with Rust or Go
What we offer:
Greenfield technical work at a company small enough that your decisions matter
Top-tier VC backing with real runway
Direct exposure to some of the world's largest enterprise AI deployments