Location — Ho Chi Minh City, Vietnam
Company — Vinova
About Vinova
Vinova is a Singapore-headquartered software development company that builds web, mobile, and enterprise applications. Our engineers work with clients and cross-functional teams to design, deliver, and operate software that solves real business problems.
Role Overview
We're looking for a hands-on AI Engineering Lead to lead the design and delivery of AI-powered products and agentic workflows. You'll work with clients and product teams to define use cases, decide where agents add value, and guide engineers from prototype through production.
You'll own the technical decisions behind model selection, tool integration, evaluation, and deployment on AWS or Microsoft Azure. You'll also help the team adopt agentic development practices using tools such as Codex and Claude Code, while evaluating models such as Claude and Grok for product use cases.
Key Responsibilities
- Lead the design and implementation of AI features and agentic workflows, including multi-step tasks, tool calling, and human approval where needed.
- Translate business problems into technical designs and measurable success criteria. Choose between conventional automation, a single model call, and an agentic workflow based on the task.
- Evaluate models and providers against task accuracy, latency, cost, and data handling requirements. Integrate them with existing APIs, applications, and data sources.
- Build evaluation datasets and regression checks for model outputs and agent behavior. Define how the system handles tool failures, unreliable outputs, and requests that need human review.
- Deploy and operate AI services on AWS or Azure. Set up CI/CD, monitoring, access controls, and rollback procedures for changes to models, prompts, and application code.
- Stay hands-on with architecture, implementation, and code reviews. Mentor engineers and establish team practices for using coding agents, reviewing generated changes, and verifying behavior before release.
- Communicate technical trade-offs, delivery risks, and progress to clients and stakeholders in clear English.
What You'll Bring
- Strong software engineering experience and a track record of leading the technical delivery of production systems.
- Hands-on experience taking at least one LLM-powered application or agentic workflow into production, with ownership of design, implementation, and evaluation.
- Strong coding skills in Python, TypeScript, C#, or another backend language, with experience designing APIs and integrating external services.
- Practical experience with model APIs, structured outputs, tool calling, and evaluation. Ability to explain how you measured quality and addressed failures in production.
- Hands-on experience deploying and operating services on AWS or Azure, including CI/CD, observability, identity and access management, and secrets management.
- Experience using Codex, Claude Code, or a comparable coding agent in real engineering work. Ability to explain how you scope tasks, review generated changes, and verify the results.
- Ability to mentor engineers, lead design discussions, and communicate effectively with both technical and business stakeholders in English.
Nice to Have
- Experience with Amazon Bedrock, Azure AI Foundry, or multiple model providers, including Anthropic or xAI.
- Experience building retrieval-augmented generation (RAG) systems, integrating tools through Model Context Protocol (MCP), or orchestrating multi-agent workflows.
- Experience building evaluation and monitoring systems that track task completion, tool failures, latency, and cost at scale.
What We Offer
- Competitive compensation and performance-based incentives.
- Flexible working hours subject to project requirements.
- Opportunities to work directly with international clients and collaborate with product, design, and engineering teams across regions.
- Opportunities for short- and long-term onsite assignments in Singapore.
- Team-building activities and an annual company trip.
How to Apply
Send us your CV to [email protected]
