AI Engineer Fully Remote

Bloomtech Inc.
United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Japanese
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Computer Vision Software as a Service Cloud Computing Nvidia CUDA Linux Python (Programming Language) Systems Development Life Cycle Tensorflow Pytorch Retrieval-Augmented Generation
+9 more
Large Language Models Generative AI Git Information Technology Machine Learning Operations TensorRT Claude Software Version Control Programming Languages

Job description

* English Version

« Key Job Points »

  • A prominent venture company driving AI projects focused on essential value creation for clients, primarily leading Japanese enterprises.
  • Leverages a strong business foundation as a SaaS provider to deliver end-to-end consulting, recruitment, and product offerings based on practical, proven approaches.
  • Offers a fully remote and flextime work environment where generative AI tools (like Claude) are deeply integrated into daily operations for maximum efficiency.

  • Annual Salary Range

10,000,000 - 18,000,000 JPY

** About the Company’s Initiatives **

We offer AI consulting services that support everything from strategy formulation to execution and improvement for business transformation, focusing on enterprise AI strategies. Utilizing our proprietary AI workflow and matching products, we also provide high-quality recruitment and digital marketing support. By integrating professional expertise with cutting-edge technology, we aim to simultaneously achieve business KPIs and AI transformation.

** Why We Can Achieve This **

  • As a SaaS company ourselves, we have a unique strength in creating practical frameworks based on our own internal implementation and business experiences.
  • Our ability to provide consulting, recruitment support, and product offerings entirely in-house enables us to solve clients’ fundamental challenges.
  • We have a proven track record and strong partnerships with Japan’s leading enterprise companies.
  • We invest heavily in our technical environment, with generative AI tools like Claude widely adopted across the company to foster an AI-first, efficient work culture.

** Why This Position is Rewarding **

You will lead the entire process from PoC to MVP and production deployment using the latest technologies, allowing you to experience a strong sense of contribution as a business partner to leading Japanese enterprises. You can grow in two dimensions: facing clients as a consultant while also acting as a primary driver of our own business development. We offer clear career paths for both management and specialists, with abundant opportunities for internal mobility and participation in proprietary business development based on your expertise.

** Tools Used **

  • Languages & Frameworks: Python, PyTorch, TensorFlow

  • Infrastructure & Environments: Linux, GPU (CUDA, TensorRT, etc.), Cloud Environments

  • AI & Models: Generative AI (LLM, Claude, etc.), RAG, Computer Vision, Edge AI

  • Version Control: Git

Requirements

言語・フレームワーク:Python / PyTorch / TensorFlow

  • インフラ・環境:Linux / GPU (CUDA,TensorRT等) / クラウド環境

  • AI・モデル関連:生成AI (LLM,Claude等) / RAG / Computer Vision / Edge AI

  • バージョン管理:Git

*必須スキル, Experience developing machine learning systems using Python.

  • Experience in model development using ML frameworks such as PyTorch or TensorFlow.

  • Practical experience in API design/implementation and system development in a Linux environment.

  • R&D and social implementation experience in the computer vision domain, such as image or behavior recognition.

  • Team development experience using Git or similar tools.

  • A degree in Computer Science, AI, Mathematics, or equivalent knowledge/experience.

  • Preferred Qualifications

  • Implementation experience with GPU/optimization (CUDA, TensorRT, etc.).

  • Experience building large-scale model training and inference environments in the cloud.

  • Development experience with LLM/RAG, video analysis, image analysis, or Edge AI.

  • Experience writing academic papers, presenting at conferences domestically or internationally, or speaking at technical study sessions.

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