AI Engineer (Vietnamese speaker)

AGAPI Technologies; United Arab Emirates; On-site; AED 180,000 - 280,000; Full time

Benefits offered by this job

Competitive compensation

Visa processing and UAE benefits

Generous holidays

Top-tier equipment (MacBook, iPhone)

Collaborative culture

Bi-Annual travel/home visit reimburse

Job summary

AGAPI Technologies in the United Arab Emirates is seeking an AI/ML Engineer to design, build, and optimize multilayer AI systems across NLP, LLM, and computer vision domains. You will fine-tune models for domain needs and deploy robust APIs and microservices in production.

The role requires hands-on experience with multimodal AI, vector databases, and experience in real-time inference, with Docker/Kubernetes familiarity. Collaboration with cross-functional teams is essential for success.

Qualifications

• Bachelor's degree in CS/AI or equivalent practical experience.
• At least 2 years of AI/ML engineering focused on NLP, LLMs, or CV.
• Hands-on experience designing, building, and deploying real-world AI systems.
• Experience with multimodal AI (text and image) and vector DBs (FAISS/Milvus/Pinecone).
• Familiarity with Docker and Kubernetes.

Responsibilities

• Design, build, and optimize AI models across NLP, LLMs, and CV domains.
• Fine-tune models for domain requirements and evaluate architectures.
• Deploy models to production with scalable APIs and microservices.
• Monitor model performance and iterate with data augmentation.
• Collaborate with product, engineering, and business teams; drive architectural decisions.
• Stay updated on LLMs, NLP, and CV developments.

Skills

Python

PyTorch

TensorFlow

NLP

LLMs

Prompt Engineering

RAG pipelines

Multimodal AI

Docker

Kubernetes

OpenCV

HuggingFace

LangChain

Education

Bachelor's Degree in CS/AI or equivalent

Tools

FAISS

Milvus

Pinecone

FastAPI

NVIDIA Triton

Grafana

Prometheus

Job description

• Design, build, and optimize AI models across multiple domains, including: NLP (text understanding, chatbots, document processing), LLM-driven applications (RAG, agents), Computer Vision (object detection, OCR, video analytics)
• Fine-tune and customize pre-trained models for specific domain requirements
• Explore and evaluate new architectures and techniques to enhance model performance

Data Management:

• Gather, preprocess, and curate datasets for NLP and Computer Vision projects
• Apply data augmentation strategies for text and image data
• Maintain high data quality and relevance to support effective model training and evaluation

Deployment & Integration:

• Deploy AI models to production with a focus on scalability and low-latency performance
• Develop APIs and microservices to operationalize models
• Optimize model inference for real-time applications

Monitoring & Optimization:

• Set up monitoring systems to track model performance and reliability
• Continuously refine models using feedback loops and updated data
• Ensure production systems are robust, accurate, and efficient

• Partner with product, engineering, and business teams to deliver AI-powered solutions
• Contribute to system design and architectural decisions
• Promote knowledge sharing and best practices within the team

• Keep abreast of the latest developments in LLMs, NLP, and Computer Vision
• Assess, adopt, and integrate new tools, frameworks, and methodologies to drive innovation

Job Requirements:

• Bachelor's Degree in Computer Science, AI, Machine Learning, or a related field, or equivalent practical experience
• At least 2 years of experiencein AI/ML engineering, with a focus on NLP, LLMs, or Computer Vision
• Proven hands-on experience designing, building, and deploying real-world AI systems
• Experience with multimodal AI (text and image)
• Familiarity with vector databases such as FAISS, Milvus, or Pinecone
• Experience with real-time inference systems
• Basic understanding of Docker and Kubernetes

Core Skills:

• Proficient in Python with experience in deep learning frameworks (PyTorch, TensorFlow)
• Strong understanding of machine learning, deep learning, neural networks, and model optimization
• AI / LLM / NLP
• Hands-on experience with LLMs (GPT, LLaMA, Mistral), prompt engineering, fine-tuning, and RAG pipelines
• Familiar with Hugging Face Transformers, LangChain, LlamaIndex; optional experience with spaCy/NLTK

Computer Vision:

• Experience with image processing, CV models, and libraries such as OpenCV and torchvision
• Familiar with object detection, classification, OCR, and segmentation tasks

Deployment & MLOps:

• Skilled in model serving with FastAPI, NVIDIA Triton, or similar frameworks
• Experience with monitoring/observability tools (Grafana, Prometheus)
• Knowledge of deploying AI models on cloud platforms (AWS, GCP, Azure)

What we offer:

• Competitive Compensation: Enjoy a salary package tailored to your skills and experience, along with performance-based bonuses.
• Comprehensive Benefits: Visa processing and UAE mandated benefits
• Work-Life Balance: Generous holidays and bonus policies
• Top-Tier Equipment: Stay productive with the latest tools, including a MacBook and iPhone.
• Collaborative Culture: Immerse yourself in a dynamic, inclusive work environment that fosters growth.
• Bi-Annual travel/home visit reimbursements

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