[Middle/ Senior] Applied AI Engineer (Good English)

Top 3 reasons to join us

• Highly Competitive Salary & Benefits
• Clear Career Growth & Learning Opportunities
• Partner with Top-tier Financial Institutions

Job description

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. As a Middle/Senior AI Engineer, you will take ownership of complex AI systems, mentor junior engineers, lead technical decisions, and drive the quality and scalability of our AI products from design to production. 

Key Responsibilities 

• Lead the design, development, and maintenance of AI-powered products using Large Language Models (LLMs). 
• Architect and own end-to-end Retrieval-Augmented Generation (RAG) systems for complex business applications. 
• Design and build sophisticated AI Agents and multi-step AI workflows for real-world production use cases. 
• Lead fine-tuning of domain-specific models using LoRA, QLoRA, PEFT, or similar approaches; define fine-tuning strategies. 
• Architect, curate, and govern datasets for model training and evaluation; establish data quality standards. 
• Design and own evaluation and benchmarking pipelines to measure AI quality, accuracy, and performance at scale. 
• Research, evaluate, and productionize new AI techniques, open-source models, and agent-based systems. 
• Provide technical leadership and mentorship to junior and middle-level engineers. 
• Collaborate closely with product, engineering, and business teams to define AI solutions and drive delivery. 
• Define and enforce testing, documentation, and AI engineering best practices across the team. 
• Contribute to architectural decisions, technical roadmaps, and AI strategy.

Your skills and experience

Mandatory Requirements 

• Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field. 
• 3 – 6+ years of experience in AI, Machine Learning, or Software Engineering, with at least 2 years at a senior level. 
• Expert-level Python programming skills; solid understanding of software design principles. 
• Deep hands-on experience with LLMs, embeddings, vector databases, and production RAG systems. 
• Proven track record of building and shipping AI applications or AI-powered products in real-world, production environments. 
• Strong familiarity with open-source LLMs such as Llama, Qwen, DeepSeek, Gemma, Mistral, or similar models. 
• Solid experience with LoRA/QLoRA fine-tuning, PEFT, AI evaluation and benchmarking, and dataset preparation for AI training. 
• Deep understanding of prompt engineering, AI application design, and AI system architecture. 
• Experience mentoring engineers and leading technical projects end-to-end. 
• Strong English communication skills — both reading and writing; able to communicate technical concepts clearly. 
• Strong problem-solving, ownership mindset, and ability to drive decisions under ambiguity. 

Nice To Have 

• Experience with AI Agents, LangGraph, LangChain, CrewAI, MCP, or similar agentic frameworks. 
• Experience leading fine-tuning projects for domain-specific open-source models at scale. 
• Experience designing and maintaining evaluation and benchmark pipelines in production. 
• Experience with synthetic data generation, data flywheel design, and dataset curation strategies. 
• Experience working with OCR, document processing, or knowledge extraction systems. 
• Experience contributing to open-source AI projects or communities. 
• Experience building and growing AI products with a significant active user base. 
• Experience with MLOps, model serving infrastructure, or AI system observability

What You Will Work On 

• Owning and scaling production-grade AI products and architectures. 
• Defining and leading AI workflows and AI Agent system design. 
• Driving fine-tuning and evaluation strategies for domain-specific AI models. 
• Building enterprise-grade RAG systems that power real business outcomes. 
• Dataset engineering, AI quality evaluation, and continuous model improvement loops. 
• End-to-end AI product development lifecycle — from research to production.

Why you'll love working here

• 13th month salary 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 provided. 
• Performance bonus plan. 
• Employee referral bonus: 2,000,000 – 10,000,000 VND (depending on level / roles). 
• Holiday celebrations. 
• Teambuilding events. 
• Annual Company Trips / Year-End Party. 
• Sport activities. 
• Support for learning and professional certificates