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Remote role and mid-level SDE title increase applicant density, balanced by AI specialization.
Requires specialized LLM/RAG and AI engineering skills, reducing cross-industry transferability.
Explicit 4–6 years and many mandatory AI, frontend, backend, and infra skills make filters strict.
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Design, develop, and optimize AI-enabled frontend, backend, and data workflow components with strong ownership and technical problem-solving.
Independently build and maintain backend services/APIs using Python and FastAPI; create frontend interfaces using React, Next.js/Remix, and Tailwind CSS; implement LLM-integrated applications and advanced RAG pipelines.
Drive architecture decisions, implement guardrails for AI safety and reliability, establish evaluation loops, and lead code reviews and mentorship within the engineering team.
4 to 6 years of software development experience with production-grade AI-enabled or data-driven systems.
Strong hands-on experience with Python, FastAPI, React, Next.js/Remix, Tailwind CSS, and microservices architecture.
Proven ability to independently own features, contribute to architecture design, and implement backend and frontend scalable solutions.
Working proficiency in English; Japanese language proficiency is desirable but not mandatory.
Experienced AI software engineer skilled at integrating LLMs and building advanced Retrieval-Augmented Generation (RAG) architectures with evaluation and guardrail mechanisms.
Strong in microservices design, Cloud-native deployment (Docker, Kubernetes, Terraform), and implementing CI/CD pipelines aligned with observability and security best practices.
Able to lead technical decisions, mentor junior engineers, and translate complex business requirements into scalable AI software solutions in cross-functional environments.