AI Engineer | Junior/Middle

Position: Applied AI Engineer (Junior/Middle)

Position Type: Full-time

Working Location: Dong Hoa, HCMC (near National HCMCU)

Working Time: 8:30 AM – 5:30 PM (Monday to Friday)

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About The Role

We are building AI-powered products for real-world business use cases, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and domain-specific model fine-tuning. You will work closely with product and engineering teams to build intelligent AI features, improve model quality through fine-tuning and evaluation, and deliver AI solutions that solve real customer problems.

Key Responsibilities

• Build and maintain AI-powered products using Large Language Models (LLMs).
• Develop Retrieval-Augmented Generation (RAG) systems for business applications.
• Build AI Agents and multi-step AI workflows for real-world use cases.
• Fine-tune domain-specific models using LoRA, QLoRA, PEFT, or similar approaches.
• Design, curate, and improve datasets for model training and evaluation.
• Build evaluation and benchmarking pipelines to measure AI quality and accuracy.
• Research and experiment with new AI techniques, open-source models, and agent-based systems.
• Collaborate with product, engineering, and business teams to deliver AI-powered features.
• Contribute to testing, documentation, and AI best practices.

Mandatory Requirements

• Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
• 2–3+ years of experience in AI, Machine Learning, or Software Engineering.
• Strong Python programming skills.
• Hands-on experience with LLMs, embeddings, vector databases, and RAG systems.
• Experience building AI applications or AI-powered products in real-world environments.
• Familiarity with open-source LLMs such as Llama, Qwen, DeepSeek, Gemma, Mistral, or similar models.
• Experience with at least one of the following: LoRA/QLoRA fine-tuning, PEFT, AI evaluation and benchmarking, or dataset preparation for AI training.
• Good understanding of prompt engineering and AI application design.
• Good English reading and technical communication skills.
• Strong problem-solving skills and willingness to learn new technologies.
• Proficient in English communication

Nice To Have

• Experience with AI Agents, LangGraph, LangChain, CrewAI, MCP, or similar frameworks.
• Experience fine-tuning open-source models for domain-specific use cases.
• Experience building evaluation and benchmark pipelines.
• Experience with synthetic data generation and dataset curation.
• Experience working with OCR, document processing, or knowledge extraction systems.
• Experience contributing to open-source projects or AI communities.
• Experience building AI products with active users.

What You Will Learn

• Building production-grade AI products.
• Designing AI workflows and AI Agent systems.
• Fine-tuning and evaluating domain-specific AI models.
• Building enterprise-grade RAG systems.
• Dataset engineering and AI quality evaluation.
• End-to-end AI product development lifecycle.

Benefits

• 13th month salary is based on exact time available monthly working at INNOTECH.
• Budget for team building each quarter/kick-off project.
• Premium Health Care Package - PVI for all employees.
• Laptop and monitor are provided.
• Performance bonus plan.
• Employee referral bonus: 2,000,000 – 10,000,000 (depend on level / roles)
• Holiday celebrations.
• Teambuilding events.
• Annual Company Trips / Year-End Party.
• Sport activities.
• Support for learning and certificates.

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