Summary
β¨ AIβGenerated
A generalist software engineering role for an autonomous builder who can work across infrastructure, backend services, data pipelines, and AI integration. You will design production-grade video processing systems, operate machine-learning inference infrastructure, and build event-driven services at scale.
Highlights
Join a high-impact engineering team building production systems across infrastructure, backend services, data pipelines, and AI. The role offers broad ownership, autonomy, and the chance to solve challenging large-scale processing and machine-learning infrastructure problems.
Description
Company Description
InfiniMind is a video reasoning platform that turns raw footage into enterprise decisions.
We process video at scale β running our own models, not wrapping third-party APIs β and deliver results that companies act on with confidence.
Founded by ex-Googlers, backed by world-class VCs, with paying enterprise customers and global expansion underway.
We're looking for a generalist engineer who can operate autonomously across the entire stack β infrastructure, backend services, data pipelines, and AI integration β and ship production systems without waiting for specs.
What you will own
Video processing pipelines β ingest, segment, and orchestrate analysis across multi-service architectures handling hours of footage dailyML inference infrastructure β serve custom models in production with GPU scheduling, manage throughput and latency at enterprise scaleEvent-driven backend systems β design and maintain the services, queues, and workflows that connect upload through indexing to real-time querySearch and retrieval β vector search, hybrid ranking, and evidence retrieval across large-scale video librariesInfrastructure β Kubernetes on AWS, observability, CI/CD, and the operational health of production services serving real customersArchitecture decisions β you'll shape how the platform evolves, not just execute tickets
First 90 Days
Week 1: Working dev environment, deploying to staging, first PR merged.Month 1: Ship a meaningful improvement to an existing pipeline or service.
You'll already own something.Month 3: Responsible for a system end-to-end β from design through production operation.
Presenting architectural decisions to the team.
Qualifications
You have:
4-6 years building production systems β you've owned services end-to-end, not just contributed featuresPython and TypeScript β both are core to the platform, not one or the otherKubernetes in production (not just local Docker)Cloud infraEvent-driven or streaming architectures (queues, pub/sub, workflow orchestration)Enough ML fluency to work alongside models β you don't need to train them, but you understand inference, embeddings, and how to serve them reliablyNative Japanese language skills (JLTP N1)
Even better:
Experience with video/media processing pipelineML inference servingWorkflow orchestration systemsVector databases and semantic search at scaleObservability in distributed systemsPrior experience at a startup where you shipped without a large team around you
YOU'LL THRIVE HERE IF YOU
Default to owning problems, not waiting for requirementsWork across systems rather than staying in one serviceGet energy from shipping to real users, not internal toolsCommunicate clearly in writing β async decisions, proposals, updatesAre honest about gaps and fast at closing them
Role Details
Location: Tokyo, Japan (on-site)Employment: Full-time permanentLanguage: English and Japanese requiredCompensation: CompetitiveRelocation: Support provided for international candidates
Send you resume/CV to talent@infinimind.io