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.
- 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.
