AI Engineer developing intelligent data pipelines and multi - agent workflows in Vietnam. Collaborating with the Singapore hub to deliver impactful stakeholder intelligence results.
About the role
- Technology Lead driving AI solutions and team leadership for NorthBay Solutions. Required expertise in Generative AI, ML/AI, and enterprise architecture.
Responsibilities
- Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.
- Lead a team of 8–12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.
- Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.
- Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.
- Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.
Requirements
- 10+ years of experience in technology leadership roles
- Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment
- Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations
- Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains
- Expertise in advanced prompt engineering and Chain-of-Thought techniques
- Proven track record delivering 3+ production-grade GenAI applications
- Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems
- Strong background in full-stack development (MERN stack or equivalent)
- Deployment expertise across on-premises, cloud, and hybrid environments
- Advanced Kubernetes skills for orchestration and scaling
- Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB)
- Proven ability to design and manage APIs and microservices (REST, GraphQL)
- DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation
- Deep knowledge of AWS, Azure, or GCP with ML/AI services
- Strong grasp of hybrid cloud architectures integrating AI/ML workloads
- Strong focus on delivery excellence, scalability, and long-term maintainability
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Engineer developing innovative AI solutions for stakeholder intelligence at TSC. Designing data pipelines and optimizing ML models in a collaborative environment.
AI Platform/ Model Developer at Mars leveraging AI to enhance North America Supply Chain efficiency and resilience. Collaborating with various teams to design and implement scalable AI capabilities.
Principal AI Engineer leading platform engineering and AI enablement initiatives at Humana, driving strategy for AI tools and products while collaborating with cross - functional partners.
AI Engineer at Worldia creating and deploying AI workflows for travel agencies. Collaborating cross - functionally with product, data, and engineering teams to solve concrete problems.
Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
AI Engineer - Consultant developing and integrating AI solutions for clients. Working in a hybrid model to support their journey towards data - driven processes.
Senior AI Engineer building agentic workflows and production - grade systems for an AI - powered platform. Join Altura to innovate and drive impactful AI initiatives in a startup environment.
Applied AI Engineer at WorkOS designing and shipping production AI systems. Collaborating with teams across the company to improve efficiency and workflows using AI.
Staff AI Engineer developing first AI Engineering Co - Pilot for Black Semiconductor's process and device engineering. Utilizing complex datasets to produce insights and predictive models for improved processes.