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Artificial Intelligence Engineer

Technology
株式会社PeopleX  アクティブコネクターグループ
東京都, 日本1ヶ月前まで 2026/5/24
正社員

職務内容

A fast-growing AI technology company in Tokyo is hiring a Senior AI Solution Engineer to drive enterprise AI solution development. This company delivers end-to-end generative AI transformation services, supporting clients from strategy and proof-of-concept to full-scale implementation and operational optimization.

You will join the Client Solution Development team and work directly with enterprise customers to design and implement AI-powered systems that solve real business challenges.

About the Role

As a Senior AI Solution Engineer, you will analyze customer challenges, design optimal AI-driven solutions, and lead development efforts. This role combines hands-on engineering, solution architecture, and client-facing technical leadership.

You will work on LLM-based systems, RAG architectures, automation platforms, conversational AI, and enterprise AI integrations.

Responsibilities

Customer Challenge Analysis & Solution Design

  • Analyze business challenges and design AI-driven solutions
  • Propose and validate approaches using machine learning and deep learning
  • Design integrated solutions leveraging internal AI platforms
  • Define technical requirements and system architecture

AI System Development & Implementation

  • Develop and implement AI-powered systems
  • Build chatbots and conversational AI systems
  • Implement speech recognition and speech synthesis systems
  • Implement, tune, and optimize ML models for production
  • Design and develop API integrations with client systems
  • Build AI systems on AWS, GCP, or Azure
  • Design, build, and operate data pipelines

Architecture & Technical Leadership

  • Design optimal architectures for LLM, RAG, vector DB, search, agents, and orchestration
  • Define non-functional requirements including scalability, availability, and security
  • Lead projects and manage technical progress
  • Provide technical explanations, demos, and implementation support to clients
  • Verify feasibility of customer requirements and propose solutions
  • Provide ongoing maintenance and operational support

Tech Environment

  • Backend: Python
  • Frontend: TypeScript, React, Next.js
  • Infrastructure: GCP, Kubernetes, Docker
  • Tools: GitHub, Slack, Confluence, Notion, Linear
  • Hardware: Mac (Apple Silicon), dual monitors

Development organization consists of approximately 65 engineers across Client Solutions, AI SaaS, and Infra/Data/AI R&D teams.

Requirements

  • Bachelor’s degree or equivalent practical experience in a relevant technical field
  • 3 years of full-stack development experience using TypeScript/React and Python
  • Experience with API and system integration
  • Experience defining requirements and delivering custom development projects for clients
  • Team leadership experience such as Tech Lead or Lead Engineer
  • Strong interest and foundational knowledge in AI and machine learning
  • Experience with cloud platforms AWS, GCP, or Azure
  • Understanding of Docker and Kubernetes
  • Japanese: Business to Fluent level

Nice to have:

  • Experience developing and operating AI/ML systems
  • Experience with TensorFlow, PyTorch, or similar frameworks
  • Experience implementing LLM/RAG systems including vector databases and prompt design
  • REST or GraphQL API design experience
  • Experience building AI systems on cloud platforms
  • Experience with chatbots, speech recognition, or generative AI systems
  • Agile development experience
  • Project management and client negotiation experience

Conditions

  • Salary: ¥8,000,000 – ¥14,000,000
  • Location: Tokyo
  • Remote work available
  • Flextime system
  • Working hours: 10:00–19:00
  • Transportation fully covered
  • Full social insurance
  • Employment type: Permanent or Contract
  • Trial period: 1 month
  • International team with English-speaking members
Keywords
monthsOfExperience: 36ReactOSOrchestrationTensorFlowOCamlPyTorchMS-DOSFloatScalabilityMacintoshTypescriptGraphQLDEMOSJavaScriptPythonDeep learningAWSDockerGithubKubernetes

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