AI Engineer Lead

Position Overview
We are looking for an AI Engineer Lead to design, build, and operate production-grade AI applications for global client projects. You will work on LLM-powered systems, RAG and data-grounding pipelines, and agentic workflows - with a strong focus on reliability, evaluation, and production quality. You will collaborate closely with Product, Data, and Software Engineering teams to translate business requirements into scalable AI solutions, and contribute to engineering standards and best practices as our AI capability grows.
Key Responsibilities
Design and develop production-grade LLM-powered applications and AI services.
Build and optimize RAG and data-grounding solutions, including vector search, hybrid retrieval, reranking, and structured data retrieval - extending to knowledge graphs where applicable.
Design and implement agentic systems and workflows, including tool calling, multi-step reasoning, memory, context management, and agent orchestration.
Develop evaluation frameworks and regression testing for AI systems, using deterministic evaluations, LLM-as-a-judge, and human-in-the-loop approaches where appropriate.
Analyze model outputs, traces, and failure cases to drive evaluation-driven development and continuous improvement.
Design AI systems for production reliability, scalability, security, observability, cost, and latency.
Implement monitoring and observability for AI applications, including model performance, latency, cost, failures, and potential security risks.
Select and evaluate appropriate LLM/model architectures and AI techniques based on business and technical requirements.
Apply machine learning and deep learning fundamentals when developing or integrating AI/ML solutions.
Collaborate with Product, Data, Software Engineering, and other stakeholders to translate business requirements into scalable AI solutions.
Provide technical guidance and mentorship to other engineers and contribute to engineering standards and best practices.
Job Qualifications
Must-have
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
6+ years of professional software engineering / AI engineering experience, with significant hands-on experience building AI-powered applications.
Strong proficiency in Python and solid software engineering fundamentals, including system design, API development, testing, debugging, and design patterns.
Strong hands-on experience with LLMs and Generative AI applications.
Practical experience with RAG, embeddings, vector databases, information retrieval, hybrid retrieval, and data grounding techniques.
Experience designing and implementing agentic workflows or AI agents.
Experience with at least one major AI/LLM framework such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent.
Understanding of LLM fundamentals, including context windows, tokenization, sampling parameters, model selection, tool calling, and model limitations.
Experience building AI evaluation and testing processes, including error analysis and regression testing.
Experience deploying and operating AI applications in production environments.
Good understanding of cloud, containers, CI/CD, monitoring, and observability.
Strong understanding of databases and data processing, including experience with SQL and/or NoSQL databases.
Good understanding of machine learning fundamentals, including model evaluation, bias/variance, data quality, and error analysis.
Strong problem-solving and technical communication skills.
Ability to produce clear technical documentation (architecture, runbooks, handover documents) and communicate effectively in English.
Nice-to-have
Experience with multi-agent systems, MCP, tool-use, or computer-use agents.
Experience with knowledge graphs, semantic layers, or advanced retrieval techniques.
Experience with multimodal AI, including vision, speech, or document intelligence.
Experience with fine-tuning, model optimization, quantization, distillation, or self-hosted LLMs.
Experience with AI security, including prompt injection, data leakage/exfiltration, guardrails, and AI governance.
Experience with MLOps / LLMOps and production monitoring at scale.
Experience optimizing AI systems for cost and latency at scale.
Experience with Kubernetes and cloud platforms such as AWS, Azure, or GCP.
Experience working in enterprise or regulated environments.
4. Why You'll Love Working Here
Work with international clients across diverse industries and contribute to impactful AI transformation projects.
Expand your expertise in AI engineering, solution consulting, and enterprise-scale architecture.
Take a key role in developing the organization's AI capabilities, engineering standards, and technical talent.
Join an open, collaborative, and innovation-driven environment that encourages continuous learning and practical experimentation.
Competitive salary, 13th-month salary, and performance-based bonuses.
Comprehensive healthcare package, including statutory and accident insurance.
Meal allowance and additional benefits for marriage, newborn, bereavement, and other life events.
Access to Coursera and Udemy Business Premium, along with continuous English, technical, and soft skills training.
Annual company trips, team-building activities, sports clubs (badminton, football, yoga, etc.), and vibrant employee engagement events.
Recognition and rewards through quarterly, annual, team, individual, and long-service awards.
Modern workplace with a fully stocked pantry and all necessary working equipment provided from day one.
Engaging monthly events: Happy gatherings, mini-games, team birthday
celebrations, year-end party, and more.
Employee support fund for personal loans (e.g., housing, vehicle, education).
Clear career development opportunities in a fast-growing technology company.
6. Additional Information
Location: QTSC1 Building, Quang Trung Software City, Trung My Tay Ward, (District 12), Ho Chi Minh City
Working Hours: Monday to Friday: 08:30 AM - 06:00 PM (with a 1.5-hour lunch break).
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