AI Engineer

Description:

• Research, fine-tune, evaluate, and optimize AI/ML models for agentic automation and IDP products.
• Develop OCR/LLM-based solutions for document classification, extraction & validation.
• Optimize LLM applications for cost, latency, accuracy, and scalability.
• Conduct experiments, benchmark models, analyze results, and continuously improve AI model quality and performance.
• Troubleshoot AI model, inference, deployment, and production issues.
• Create technical documentation covering AI models, training processes, prompts, APIs, deployment and operational procedures.
• Support delivery teams and customers in resolving technical issues related to AI products

Requirements

Must have:

• At least 3 years of hands-on experience in OCR/LLM/ML engineering, with strong practical experience delivering AI solutions to production
• Strong practical experience with OCR model training, document understanding, key-value extraction, table extraction.
• Strong experience with LLM system prompts and Prompt Engineering, including structured output, prompt optimization, and reliability improvement.
• Strong experience with Python, PyTorch and HuggingFace.
• Hands-on experience with LLM/VLM fine-tuning, including LoRA, QLoRA, SFT, and multi-GPU training.
• Strong understanding of model evaluation, dataset preparation, training pipelines, and model performance optimization.
• Experience with AI model serving and inference optimization using technologies such as Ollama, vLLM, TensorRT, Triton Inference Server, or ONNX.
• Experience integrating LLM providers such as Google Gemini, OpenAI, Anthropic Claude, and/or self-hosted LLM models.
• Strong understanding of LLM application architecture, including structured output, function/tool calling, context management, token usage, cost optimization, and latency optimization.
• Strong troubleshooting, analytical, and problem-solving skills.
• Good communication skills and ability to explain complex concepts to software engineers, product managers, and other stakeholders.

Nice to have:

• Experience deploying AI services on AWS or Microsoft Azure.
• Experience developing and consuming RESTful APIs and building AI-powered web services.
• Experience with Docker, Kubernetes for deploy production AI workloads.
• Experience with AWS services such as S3, SQS, EC2, ECS/EKS, or GPU computing services.
• Experience with MLOps and CI/CD for AI applications.
• Experience optimizing AI workloads for GPU inference and production-scale deployment.
• Experience with enterprise RPA, IDP or document automation solutions.

Benefits:

• Monthly salary up to $2,500 USD.
• FPT care health insurance provided by PJICO and is exclusive for FPT employees
• Have a chance to go Onsite short-term or long-term
• Young and dynamic working environment
• Continuous development of hard and soft skills through work and professional training
• Opportunity to approach newest technology trends
• Exciting leisure: sport and art events (football club, family day...)
• Company's labor policy completely pursuant to Vietnamese labor legislation plus other benefits offered by. the company (Company trip, Holiday, etc.).