AI Engineer | Junior/Middle

Working Location: Dong Hoa, HCMC (near National HCMCU)
Position Type: Full- time
Working Time: 8:30 AM – 5:30 PM (Monday to Friday)
Position: Applied AI Engineer (Junior/Middle)
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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 evaluation and benchmarking pipelines to measure AI quality and accuracy.
Good English reading and technical communication skills.
Contribute to testing, documentation, and AI best practices.
Collaborate with product, engineering, and business teams to deliver AI- powered features.
Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
Build AI Agents and multi- step AI workflows for real- world use cases.
Build and maintain AI- powered products using Large Language Models (LLMs).
Develop Retrieval- Augmented Generation (RAG) systems for business applications.
Research and experiment with new AI techniques, open- source models, and agent- based 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.
Proficient in English communication
Hands- on experience with LLMs, embeddings, vector databases, and RAG systems.
2–3+ years of experience in AI, Machine Learning, or Software Engineering.
Mandatory Requirements
Strong Python programming skills.
Design, curate, and improve datasets for model training and evaluation.
Strong problem- solving skills and willingness to learn new technologies.
Fine- tune domain- specific models using LoRA, QLoRA, PEFT, or similar approaches.
Good understanding of prompt engineering and AI application design.
Experience with at least one of the following: LoRA/QLoRA fine- tuning, PEFT, AI evaluation and benchmarking, or dataset preparation for AI training.

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

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

Benefits

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

work station, yearly bonus financial benefits, team building events, professional development, near public transport work environment and facilities, career growth, perform bonus financial benefits, mentorship career growth and workplace support, cross training career growth and workplace support

Cập nhật gần nhất lúc: 2026-06-25 16:55:03