AI-Native Engineering Lead

AI-Native Engineering Practice - Technical Ownership:

• Own and continuously evolve KMSs AI-native SDLC operating model at KMS: agent workflow designs verification gates context management standards and eval frameworks

• Build and lead multi-agent systems using orchestration layers such as Claude Code GitHub Copilot Workspace Cursor LangGraph CrewAI or equivalent from prototype to production

• In collaboration with the Director of Engineering contribute to and help maintain KMSs AI toolchain selection criteria evaluating tools with engineering rigor not hype and publishing internal guidance on when AI helps and when it hurts

• Establish prompt engineering standards agent evaluation (evals) loops and AI output quality gates across the delivery organization

Capability & Standards Leadership

• Prior experience in a lead principal or staff engineer role with demonstrated cross-team influence 

• Experience in outsourcing consulting or multi-client delivery environments

• Track record of building or leading an internal community of practice guild or AI adoption program

• Develop and continuously evolve KMSs AI-native SDLC playbook standards workflow templates case studies and guardrails that delivery teams can adopt immediately

• Design and lead internal upskilling programs (workshops pairing) that move engineers from AI-assisted to AI-native working patterns

• Track the AI capability frontier model improvements new agent frameworks emerging risks and translate signals into timely updates to KMSs practices

Client Delivery

• Work closely alongside KMS Delivery Teams as an AI transformation advisor and execution partner identifying the highest-value automation opportunities across the SDLC and coordinating with the team to bring them to life

• Design and deploy agent-orchestrated workflows tailored to each clients stack team maturity and delivery context with measurable ROI

• Build business cases for AI-native adoption with clients and account managers framing the value in terms of velocity quality and cost

• Represent KMSs AI-native engineering capabilities in client conversations QBRs and RFP responses acting as a credible technical authority

Qualifications :

Core Engineering Foundation

• 8 years of professional software engineering with a proven track record of leading technical initiatives that span multiple teams or systems 

• Deep hands-on experience across the full SDLC: from requirements and architecture through testing deployment and production operations 

• Demonstrated ability to lead technical direction setting standards reviewing architecture decisions and influencing without direct authority

• Strong command of software architecture principles: system decomposition API design scalability observability and failure mode reasoning

• Proficiency in at least one primary language: Python TypeScript/JavaScript or Go with experience across multiple layers of the stack

AI & Agentic Systems Fluency

• Proven production-grade experience with AI coding agents as a core part of your daily workflow 

• Strong understanding of LLM API integration in production: context window management latency and cost tradeoffs model selection criteria fallback strategies and output reliability patterns

• Experience or strong interest in multi-agent orchestration patterns: task decomposition agent communication tool use memory and eval loops

• Working knowledge of RAG architectures embedding strategies and how to ground AI agents in domain-specific proprietary knowledge bases

• Ability to design and run AI evals: you can define quality metrics build evaluation datasets detect regressions and use quantitative signals to improve agent behaviour over time

Nice to have

• Experience with agentic frameworks: LangGraph CrewAI AutoGen or similar orchestration patterns

• MLOps knowledge: model deployment monitoring drift detection A/B testing in production

• Familiarity with AI security risks: prompt injection adversarial inputs data leakage in agentic contexts

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 Services Software Product Development IT Solutions & Consulting
• Flexible working time 
• Various training on hot-trend technologies best practices and soft skills
• 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!

Talent Acquisition Team     Hotline: (84)Email: 

Remote Work :

No

Employment Type :

Full-time