Appealing Points:
- Build modern AI-powered applications using React, Python, FastAPI, LLM integration, RAG, Hybrid Search, and advanced retrieval techniques.
- Work across the full-stack and cloud-native ecosystem, combining frontend development with Docker, Kubernetes, Terraform, CI/CD, and scalable backend APIs.
- Gain hands-on exposure to production-grade AI engineering, including model evaluation, AI guardrails, IAM/OAuth2 security, and observability with Prometheus, Grafana, and OpenTelemetry.
Annual Salary: 4 Million yen and Above
Job Qualification:
- 1 to 3 years of software development experience, AI ML Engineer With GEN AI
- Experience contributing to application development in team-based engineering environments
- Exposure to AI-enabled applications or data-driven systems preferred
Frontend Development
- Hands-on experience with React
- Experience building UI components using Tailwind CSS
- Familiarity with Next.js or Remix frameworks
- Understanding of Server-Sent Events (SSE) or similar real-time communication mechanisms
Backend Development
- Strong hands-on experience in Python development
- Experience building backend APIs using FastAPI
- Strong understanding of REST API principles, API design, and integration patterns
- Understanding of backend performance optimization and debugging practices
AI / ML Engineering
- Working knowledge of Large Language Model (LLM) integration concepts
- Experience or exposure to Retrieval-Augmented Generation (RAG) implementation
- Understanding of advanced retrieval concepts including Hybrid Search and Re-ranking
- Familiarity with evaluation loops and model quality validation
- Understanding of guardrails and AI safety mechanisms
DevOps & Platform Engineering
- Working knowledge of Docker and Kubernetes
- Understanding of CI/CD pipelines and deployment workflows
- Familiarity with Infrastructure-as-Code (Terraform)
- Basic understanding of cloud-native deployment principles
Security & Observability
- Understanding of IAM, OAuth2, and secure authentication flows
- Familiarity with API security and access control patterns
- Basic experience with Prometheus, Grafana, and OpenTelemetry for monitoring and tracing
Engineering Practices
- Strong understanding of software development fundamentals, debugging, and testing practices
- Ability to follow coding standards, documentation practices, and engineering processes
- Understanding of version control workflows and collaborative development practices
Soft Skills
- Strong team collaboration and cross-functional communication skills
- Ability to communicate blockers, risks, and progress clearly
- Learning agility and willingness to quickly adopt new tools and frameworks
- Ability to work effectively in fast-paced prototyping and delivery environments
- Strong ownership mindset for assigned deliverables and system stability
- Problem-solving mindset with strong analytical thinking and scenario evaluation
- Discipline in documentation and technical communication
Language Proficieny : Business level Japanese (JLPT N2), Business level English
Company Description:
The company has a singular focus on the Connectedness vertical, partnering with the leading creators of our hyper-connected world. Customers range from telecom operators, digital/multi-service providers (D/MSPs), and technology and digital platform companies in the business of connectedness. The company builds, integrates, and operates solutions enabling next-generation technologies and innovations. Services global leaders including Verizon, CenturyLink, Adtran, Vodafone, Liberty Global, Windstream, Virgin Media, Rogers, and Deutsche Telekom among many others. The company’s customers today help more than a billion people and five billion devices stay connected.
. Skillset Required: React, Python, FastAPI, LLM integration, Retrieval-Augmented Generation (RAG), Hybrid Search, advanced retrieval techniques, frontend development, Docker, Kubernetes, Terraform, CI/CD, scalable backend APIs, model evaluation, AI guardrails, IAM, OAuth2 security, observability, Prometheus, Grafana, OpenTelemetry, Tailwind CSS, Next.js, Remix frameworks, Server-Sent Events (SSE), real-time communication mechanisms, backend performance optimization, debugging, REST API principles, API design, API integration patterns, API security, access control patterns, software development fundamentals, debugging practices, testing practices, coding standards, documentation practices, engineering processes, version control workflows, collaborative development practices, team collaboration, cross-functional communication, communication of blockers and risks, learning agility, fast-paced prototyping, ownership mindset, problem-solving, analytical thinking, scenario evaluation, discipline in documentation, technical communication
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