Lead AI Engineer – Quality Engineering

We are looking for a Lead AI Engineer to design build and operate intelligent agents that automate software testing end-to-end.

This is an AI engineering role applied to quality engineering not a traditional test automation role with AI added on top. You will own agentic workflows across test-case generation automation-script creation execution validation failure analysis self-healing and continuous test maintenance. The role integrates AI agents with application knowledge automation tools APIs databases and CI/CD pipelines to enable reliable end-to-end testing and sets the technical direction for how agentic quality engineering is delivered across teams.

You will lead the technical direction of this capability and mentor a team of engineers (team size: TBC) as the practice scales.

Key Responsibilities

Build agentic systems

• Design and develop autonomous and multi-agent workflows for test automation.
• Build AI agents using LLMs prompt engineering RAG tool calling and MCP-based integrations.
• Develop agents for test generation code creation validation debugging failure triage and self-healing.
• Maintain application knowledge bases (embeddings retrieval context strategy) and continuously improve agent decision-making.

Make them reliable

• Define agent instructions guardrails validation checkpoints and human-in-the-loop review processes.
• Establish evaluation practice: golden datasets regression evals LLM-as-judge where appropriate and clear accuracy/reliability metrics.
• Instrument agents with tracing and observability; monitor and improve accuracy reliability latency token cost and maintainability in production.

Integrate and ship

• Integrate agents with UI API database and end-to-end testing workflows.
• Integrate agentic solutions with GitHub Jenkins APIs databases and other engineering tools.

Lead

• Set technical standards and best practices for agentic development and AI-assisted testing.
• Mentor engineers run design reviews and raise the teams level of AI engineering maturity.

Qualifications :

Must Have

• 6 years of software engineering experience including proven experience leading technical delivery or mentoring engineers.
• 1.5 years building LLM-based or agentic systems that reached production not proof-of-concept work only.
• Strong hands-on experience with LLM integration prompt engineering RAG and AI-agent development.
• Proficiency in Python or TypeScript with solid experience building and consuming REST APIs.
• Hands-on experience with at least one agent orchestration framework (e.g. LangGraph OpenAI Agents SDK CrewAI AutoGen Semantic Kernel or equivalent) including tool integration structured outputs and validation mechanisms.
• Practical experience with AI evaluation and observability designing eval datasets measuring agent quality and using tracing tools (e.g. LangSmith Langfuse Arize Phoenix or a custom harness).
• Experience with vector databases embeddings and knowledge management for retrieval.
• Solid understanding of Git CI/CD pipelines and modern software-development practices.
• Good English communication skills for collaborating with distributed teams and stakeholders.

Nice-to-Have

• Working knowledge of Playwright with TypeScript.
• Background in UI API database or end-to-end test automation.
• Familiarity with Angular or React applications.
• Experience with MCP (Model Context Protocol) servers and clients.
• Experience optimizing LLM cost and latency (caching model routing token budgeting).
• Experience with Jenkins or comparable CI orchestration at scale.

Additional Information :

Perks Youll Enjoy 

• Working in one of the Best Places to Work in Vietnam
• Building large-scale & global software products
• Working & growing with Passionate & Talented Team
• Diverse careers opportunities with Software Outsourcing Software Product Development IT Solutions & Consulting
• Attractive Salary and Benefits
• Performance appraisal once a year and performance bonus
• Onsite opportunities: short-term and long-term assignments in North American (U.S Canada) Europe Asia.
• Flexible working time
• Various training on hot-trend technologies best practices and soft skills
• Premium healthcare insurance for you and your loved ones
• Company trip big annual year-end party every year team building etc.
• Fitness & sport activities: football tennis table-tennis badminton yoga swimming
• Joining community development activities: 1% Pledge charity every quarter blood donation public seminars career orientation talks
• Free in-house entertainment facilities (foosball ping pong gym) coffee and snack (instant noodles cookies candies)

And much more join us and let yourself explore other fantastic things!

Remote Work :

No

Employment Type :

Full-time