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# AI Engineer(LLM/VLM) / Fully Remote

- **Company:** Bloomtech Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Cloud Computing, Databases, Database Design, Python (Programming Language), Machine Learning, NoSQL, Systems Development Life Cycle, Tensorflow, SQL Databases, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Git, Kubernetes, Docker, Programming Languages
- **Published:** November 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/py9tiuccy2

## About the Role

[Must-have]

・Hands-on development experience with Python and machine learning frameworks such as PyTorch

・Experience in LLM/VLM development with at least one of the following:

 1. Algorithm, product, or system development experience in LLM projects (proposal, architecture design, implementation, and development management)

 2. LLM performance optimization experience (dataset creation, RAG, fine-tuning, prompt engineering, acceleration/compression, accuracy & performance evaluation)

 3. System implementation and deployment experience involving LLMs across on-premises or cloud environments

・Knowledge and practical experience in Natural Language Processing (NLP)

・Experience in collaborative team development using Git

・Experience in technical communication and technical proposals with sales teams or external clients

[Nice-to-have]

・Knowledge and development experience in computer vision (image recognition AI, classical computer vision)

・Experience deploying and operating machine learning models in production

・Knowledge and experience with container technologies such as Docker and Kubernetes

・Database design and operational experience (SQL / NoSQL)

・Ability to read technical documentation and communicate in English

・Ability to track latest research papers/tech trends and apply them to practical business solutions

## Description

* Responsibilities: Leading LLM/VLM Solution Development & Technical Excellence as an LLM/VLM Engineer

・Architect, develop, and deploy LLM/VLM systems end-to-end (data collection, data preprocessing, model selection, training, evaluation, and cloud/on-premise deployment)

・Provide generative AI technical consulting, requirements definition, and solution proposals to address client DX initiatives

・Conduct technical research, evaluation, and client-facing technical negotiations to uncover latent business needs

・Systematize project insights and technical documentation to elevate the organization's collective engineering capabilities

・Lead tech study sessions, track latest research papers and technology trends, and mentor the engineering team

[ Technical Environment ]

・Languages & Frameworks: Python, PyTorch, and machine learning libraries

・Technical Domains: LLM, VLM, NLP, RAG, Fine-tuning, Prompt Engineering, Model Optimization / Compression

・Infrastructure & Cloud: Cloud platforms, On-premises environments, Docker, Kubernetes

・Databases: SQL / NoSQL

・Tools: Git