AI-Native Software Engineering Lead

Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation 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

Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not

Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization

Previous 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 the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately

Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns

Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to KMS's practices

Work closely alongside 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 implement them

Design and deploy agent-orchestrated workflows tailored to each client's 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 the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority

8 years of professional software engineering experience and a track record of leading technical initiatives across multiple teams.

Deep hands-on experience in the software development life cycle including requirements gathering, architecture, testing, deployment, and production operations.

Ability to lead technical direction, set standards, review architecture decisions, and influence without direct authority.

Strong knowledge of software architecture principles such as system decomposition, API design, scalability, observability, and failure mode reasoning.

Proficiency in at least one primary programming language such as Python, JavaScript, Java, .NET, or Go.

Proven experience in AI coding agents as a core part of daily workflow.

Understanding of LLM API integration in production including 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, and knowledge of RAG architectures and embedding strategies.

Ability to design and run AI evaluations and use quantitative signals to improve agent behavior over time.

Experience with agentic frameworks and MLOps knowledge.

Familiarity with AI security risks in agentic contexts.

Opportunity to work in a highly regarded workplace in Vietnam

Contributing to the development of large-scale and global software products

Collaborating with a dedicated and skilled team

Access to diverse career opportunities in software services, product development, IT solutions, and consulting

Competitive salary and benefits package

Annual performance appraisals and bonuses

Possibility of short-term and long-term assignments in various global locations

Flexible work hours

Ongoing training in industry-relevant technologies, best practices, and soft skills

Premium healthcare coverage for employees and their families

Company-sponsored trips, annual parties, and team-building activities

Participation in fitness and sports activities such as football, tennis, and yoga

Engagement in community development and charitable activities

Access to in-house entertainment facilities and complimentary snacks and beverages

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666