1 - Project Overview:
Position AI Engineer (Mid / Senior)
Level 2 – 4 years of experience
Location Hà Nội (Hòa Lạc)
Language English — Business Proficiency (speaking & writing)
Employment Full-time
2 - Job Description:
1. AI Agent & LLM Development
• Design and implement AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI
• Build and integrate LLM-powered features: RAG pipelines, tool-calling agents, multi-agent orchestration
• Develop prompt engineering strategies, fine-tuning workflows, and evaluation harnesses for LLM applications
• Optimize LLM inference for latency, token efficiency, and cost-per-call at scale
2. Software Engineering
• Write clean, production-grade Python / TypeScript code following SDLC best practices
• Build and maintain REST / gRPC APIs that expose AI capabilities to downstream services
• Integrate AI modules into existing microservice architectures (containerized, cloud-native)
• Write unit tests, integration tests, and contribute to CI/CD pipeline maintenance
3. Data & MLOps
• Prepare and version datasets for model training, fine-tuning, and evaluation
• Deploy models and pipelines to cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)
• Monitor model performance in production; implement drift detection and retraining triggers
• Maintain experiment tracking using MLflow, W&B, or equivalent tools
4. Collaboration & Communication
• Communicate technical approaches and trade-offs clearly in English to non-technical stakeholders
• Participate in Agile/Scrum ceremonies: Sprint planning, daily stand-up, demo, retrospective
• Produce technical documentation: solution design documents, API specs, runbooks
• Mentor junior engineers and contribute to internal AI knowledge-sharing sessions
3 - Qualifications:
Must-Have
• 2–3+ years of hands-on software development experience in production environments
• Proficiency in Python; strong understanding of OOP, async programming, and design patterns
• Demonstrated experience building AI agents or LLM-based applications (GitHub / portfolio required)
• Solid understanding of LLM concepts: tokenization, context window, embeddings, RAG, tool-use, function calling
• Experience with at least one major LLM provider API: OpenAI, Anthropic Claude, Google Gemini, or open-source models (Llama, Mistral)
• English communication proficiency — able to conduct technical meetings and write documentation in English
• Understanding of SDLC: Git workflow, code review, CI/CD pipelines, Agile/Scrum methodology
Nice-to-Have
• Experience with vector databases: Pinecone, Weaviate, Qdrant, pgvector
• Knowledge of multi-agent orchestration patterns (AutoGen, CrewAI, LangGraph)
• Familiarity with cloud-native deployment: Docker, Kubernetes, serverless functions
• Exposure to retail, e-commerce, or enterprise SaaS domain (POS, loyalty, inventory — a strong plus)
• Japanese or Korean language skills (not required, but a differentiator for FJP/FKR markets)
4 - Others/Benefit:
- Competitive salary with performance-based Project Bonuses (KPIs & Client Satisfaction Index).
- Professional growth environment with direct exposure to global clients and clear career paths toward Delivery Manager or Operations Manager roles.
- Comprehensive benefits package: Premium health insurance, annual performance bonuses, and certification sponsorship budgets.