Own the architecture, operation, and unit economics of the AI platform powering NEURON's hybrid retrieval system across multi-tenant SaaS and single-tenant stacks. Design and optimize infrastructure for sub-second latency and enterprise profitability. Requires 3+ years AWS production experience, Terraform, Graph DB, Vector DB, and strong Japanese communication skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Nice to Have
Job Description
Company Description
UNCHAIN is an AI startup founded in July 2025 by alumni of the University of Tokyo's Matsuo Lab and SoftBank Academia. With the mission "UNCHAIN THE WORLD," we build AI platforms that free organizations from structural constraints, so teams can focus on what truly matters. Our products include NEURON (AI workflow automation) and ASGUARD (AI agent security).
Role Description
UNCHAIN is seeking an Infrastructure Engineer for a full-time, fully remote position. You will own the architecture, operation, and unit economics of the platform powering NEURON's hybrid Ontology + RAG retrieval system across two deployment topologies in parallel, a shared multi-tenant SaaS and dedicated single-tenant stacks for enterprise customers. This is not a "keep the lights on" role: you will make the core infrastructure design decisions that determine whether our AI platform can serve enterprise customers profitably while maintaining sub-second latency.
Qualifications
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Must Have:
- 3+ years operating production infrastructure on AWS with strong Terraform/IaC discipline
- Hands-on experience with a Graph DB (Neo4j, Neptune, ArangoDB) in production, or strong PostgreSQL with willingness to make graph-DB migration decisions
- Hands-on experience with a Vector DB (pgvector, Qdrant, Weaviate, Pinecone) in production
- Experience designing hybrid retrieval pipelines combining graph traversal and vector search
- Infrastructure-level cost & latency engineering for AI/LLM workloads
- Multi-tenant data architecture experience at enterprise scale
- System-level observability experience (distributed tracing, SLO/SLI, APM)
- Strong Japanese communication skills (English a plus)
- Proactive and self-driven in a fast-paced startup environment
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Nice to Have:
- Knowledge Graph / Ontology experience
- Hybrid search architecture (BM25 + vector + graph)
- Single-tenant SaaS deployment for compliance-sensitive enterprise customers
- FinOps track record
- SRE background or on-call leadership experience
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