Offer: $1000 - $2800 (negotiable)
Location: Hanoi, Vietnam
Project Type: Advanced AI Solutions & Intelligent Automation
Language Requirement: Fluent English (spoken and written)
About the role
We are seeking an experienced AI Engineer with strong software engineering expertise and a deep understanding of AI/ML workflows, large language models, and modern development practices. This role focuses on building scalable AI solutions, integrating agentic frameworks, and deploying models in production environments with an emphasis on reliability, performance, and business impact.
Key responsibilities
AI Development and Integration
- Design and implement AI-driven applications using advanced Python programming techniques.
- Develop and integrate agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) for complex workflows.
- Work with leading LLM APIs (OpenAI, Anthropic Claude, Gemini) to build intelligent features and conversational systems.
Model Optimization and Customization
- (Optional) Fine-tune models, generate embeddings, and integrate custom-trained models for domain-specific tasks.
- Apply best practices for model evaluation, testing, and performance optimization.
Software Engineering and Testing
- Write clean, maintainable, and well-documented code following modern software engineering principles.
- Implement unit and integration tests using frameworks like pytest, unittest, or BDD-style tools (behave, cucumber).
Cloud Deployment and CI/CD
- Deploy AI solutions on AWS services (EC2, Lambda, S3, DynamoDB, Redis).
- Utilize containerization tools (Docker, Kubernetes) and CI/CD pipelines (GitLab) for automated delivery.
Optional Front-End Integration
- Basic knowledge of front-end technologies (Streamlit, React, Next.js) for building interactive AI dashboards.
Required Skills & Qualifications
- At least 34 years of experience as a Software Engineer with a focus on AI/ML projects.
- Advanced Python programming skills for AI/ML and automation tasks.
- Demonstrable experience with at least one agentic AI framework (LangChain, LangGraph, CrewAI, AutoGen, etc.).
- Familiarity with leading LLMs and their APIs (OpenAI, Anthropic, Gemini).
- Advanced knowledge of writing unit and integration tests.
- Experience with AWS services and modern DevOps practices (CI/CD, Docker, Kubernetes).
- Excellent English communication skills (written and verbal).
Nice to Have
- Experience with fine-tuning and embedding generation.
- Exposure to front-end frameworks for AI visualization (Streamlit, React).
- Knowledge of data governance and security best practices.
