About us:

Oraichain is the world's first AI blockchain oracle established in 2020. The project is now driving advancements in private intelligence through confidential infrastructures and human-centric AI development, while maintaining strong blockchain foundations. Our mission focuses on bridging these advanced AI capabilities with blockchain technology, paving the way for next-generation Web3 applications and their mass adoption.

We are a culture of passionate minds in AI and blockchain, consisting of 6 PhDs, over 58 developers and employees, more than 10 part-timers, and hosting over 10 interns each year.

Learn more at Oraichain Labs

Website: https://orai.io

Twitter: https://x.com/oraichain

Position Overview:

We are seeking a mid-level AI Engineer with strong MLOps infrastructure experience to join our team. This role bridges AI model development and production infrastructure, focusing on deploying, scaling, and maintaining LLM-based agent systems. The ideal candidate will have hands-on experience building robust MLOps pipelines and the technical infrastructure required to support advanced AI applications in production environments.

Responsibilities

Design and develop AI agent applications using state-of-the-art LLMs and agent frameworks
Implement RAG (Retrieval-Augmented Generation) systems to enhance AI capabilities with external knowledge
Create prompt engineering solutions for specialized AI applications and use cases
Build and optimize evaluation frameworks to measure and improve AI agent performance
Collaborate with cross-functional teams to integrate AI solutions into product offerings
Implement practical MLOps practices including containerization, monitoring, and CI/CD for AI applications
Contribute to scalable infrastructure decisions for efficient AI model deployment
Research and implement techniques to enhance model efficiency, accuracy, and reliability
Set up and maintain vector databases for efficient information retrieval

Requirements

3-4 years of experience in AI/ML development, with focus on LLM applications
Demonstrated experience building and deploying LLM-based systems (OpenAI, LLaMA, etc.)
Practical knowledge of RAG architectures and vector databases (FAISS, ChromaDB, etc.)
Experience with prompt engineering and LLM agent development
Working knowledge of containerization (Docker) and basic cloud infrastructure
Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow)
Understanding of basic MLOps concepts including monitoring, versioning, and deployment pipelines
Experience with at least one cloud platform (AWS, GCP) for AI application hosting
Ability to implement and optimize AI applications with infrastructure considerations in mind

Nice to Haves

Experience with Kubernetes for orchestrating AI workloads
Knowledge of blockchain technology and Web3 applications
Familiarity with Infrastructure as Code tools (Terraform, etc.)
Experience with model evaluation frameworks and A/B testing
Experience with streaming data processing for real-time AI applications
Familiarity with fine-tuning approaches for customizing foundation models

Apply via hr@orai.io or contact to your partner here:

Ms. Linh Nguyen Thuy | Oraichain Talent Acquisition Department

Tel: (+84) 358 652 819 | E: linh.nt@orai.io | LinkedIn: Linhthuyng22

Oraichain Labs Team is your partner in this process and is here to answer any questions you have along the way.