Boydens Vietnam

ROLE OVERVIEW

We are looking for an AI Developer with strong hands-on experience in LLM-based systems, RAG architectures, and production-grade AI solutions. You will design, build, and deploy AI-driven features that deliver concrete business value, ranging from intelligent assistants and agentic workflows to document-based reasoning systems and AI-powered automation.
You will work closely with product, platform, and business stakeholders to translate complex domain problems into scalable, secure, and maintainable AI solutions.

KEY RESPONSIBILITIES

AI & Application Development

• Design, implement, and deploy LLM-powered applications, including chatbots, copilots, and AI agents.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and structured knowledge sources.
• Develop agentic workflows for multi-step reasoning and automation where single-prompt LLM usage is insufficient.
• Integrate AI capabilities into existing platforms via REST-based microservices.

Architecture & Platform

• Contribute to the architecture of scalable, production-ready AI systems.
• Integrate multiple LLM providers (cloud and/or local models) in a unified application layer.
• Ensure data security, access control, and privacy-aware AI design, especially for enterprise or client-sensitive environments.

MLOps & Engineering Quality

• Containerise and deploy AI services using Docker and cloud-native tooling.
• Implement monitoring for latency, errors, token usage, and system health.
• Apply software engineering best practices: clean code, testing, CI/CD, and documentation.
• Collaborate in code reviews and contribute to shared technical standards.

Collaboration & Impact

• Work closely with stakeholders to align AI solutions with real business needs.
• Communicate technical concepts clearly to non technical audiences when needed.
• Contribute ideas on how AI can improve workflows, products, and decision-making.

REQUIRED SKILLS AND EXPERIENCE
Core Technical Skills

• Strong Python proficiency for AI and backend development.
• Hands-on experience with LLMs, including prompt engineering and system-level design.
• Solid experience with RAG architectures and vector databases (e.g. pgvector or similar).
• Experience building APIs using FastAPI or equivalent frameworks.
• Practical knowledge of Docker and cloud deployment (Azure and/or AWS).

AI & ML Stack

• Frameworks such as LangChain, LlamaIndex, Semantic Kernel, PyTorch, TensorFlow, or similar.
• Experience with NLP, transformers, deep learning, or applied ML.
• Familiarity with knowledge graphs, document processing, or conversational AI is a strong plus.

Engineering Practices

• Experience working with microservices, integrations, and REST APIs.
• Good understanding of CI/CD, version control, and collaborative development.
• Ability to build maintainable, production-quality systems, not just prototypes.

Nice to Have

• Experience with agent-based architectures (multi-agent or tool-using agents).
• Experience deploying local LLMs for privacy-sensitive or on prem environments.
• Cloud infrastructure knowledge (Terraform, AWS services, Azure Databricks, Kubernetes).
• Frontend or full-stack exposure (NodeJS, Vue, Typescript) is a plus
• Prior consulting or client-facing experience.

Soft Skills & Mindset

• Strong problem-solving and analytical thinking.
• Proactive, ownership-driven attitude.
• Comfortable working in fast-moving, evolving AI landscapes.
• Clear communicator with good collaboration skills.
• Curious mindset and willingness to continuously learn and experiment.

WHY WORK WITH US

• Opportunity to work on forward-thinking projects/overseas projects using the most advanced tools and international standards
• International working environment and European management style
• Training opportunities to develop your career
• 15 days annual leave, 12 days sick leave, 15-20 days child sick leave
• International private hospitalisation insurance with annual health check at Vinmec (VIP package)
• Social insurance, health insurance, unemployment insurance, trade union paid following labour law
• Team building, year-end party activity and other benefits following company policy
• 5 working days per week (Mon to Fri) with flexible starting time (7AM-9AM).
• Provides electric vehicles for employees