Lập Trình Viên AI

We are seeking innovative and skilled AI Engineers to join our GenAI team. You will play a pivotal role in designing, building, and deploying cutting- edge agentic applications.
Agentic Application Development:
Design and implement autonomous agents and multi- agent systems that can reason, plan, and execute complex tasks.
Tool & Interface Design:
Create robust tools and interfaces that allow agents to interact effectively with external APIs, databases, and software environments.
System Architecture:
Architect scalable and reliable multi- agent systems, ensuring efficient communication and coordination between agents.
Prompt Engineering:
Develop, test, and optimize advanced prompts to guide LLM behavior, ensuring high accuracy and reliability in agent outputs.
Cloud Deployment:
Deploy, monitor, and maintain AI and agentic applications on cloud platforms (Azure/AWS), focusing on scalability, latency, and cost- optimization.
Collaboration:
Work closely with cross- functional teams to integrate agentic solutions into broader product ecosystems.
Innovation:
Stay at the forefront of Generative AI research, experimenting with new frameworks and techniques to drive continuous improvement.

Core Technical Skills

Programming
Generative AI & LLMs: Deep understanding of Large Language Models (LLMs), their capabilities, limitations, and tuning techniques (RAG, fine- tuning).
: Proficiency in Python is essential. Experience with asynchronous programming and API development (FastAPI/Flask).
Agent Frameworks: Hands- on experience with modern agent frameworks such as:

Google GenAI SDK / Vertex AI Agent Builder
Microsoft Agent Framework
Anthropic Claude SDK / Tools / Skills
LangChain / LangGraph

Agent Design: Solid grasp of agent design patterns (ReAct, Chain- of- Thought, planning, reflection) and tool- use definitions.

Cloud & DevOps

Deployment: Expertise in deploying AI applications using containerization (Docker, Kubernetes) and serverless technologies (Azure Functions, AWS Lambda, GCP Cloud Run).
MLOps/LLMOps: Familiarity with pipelines for evaluating, monitoring, and managing the lifecycle of LLM- based applications.
Cloud Platforms: Strong experience with Azure / AWS / GCP ecosystems.

Experience Levels

Soft Skills

Experience: 4- 5 years in software/AI engineering with proven experience building LLM applications.Focus: Designing agent workflows, optimizing prompt performance, managing cloud infrastructure for AI apps, and mentoring junior members.

Good command of English (verbal and written).
Strong communication skills to articulate complex technical concepts to stakeholders.
Excellent problem- solving and analytical skills.
Ability to work effectively in a fast- paced, collaborative global environment.

Project Bonus
Health Care Insurance
Social, health and unemployment Insurance following Government policy
Probation salary is 100% of official salary
13th- month salary and performance review twice a year
Work five days per week with flexible check- in time
IT Certificate allowance
Enjoy company summer trips and other team building activities held monthly and quarterl
Professional, creative and dynamic working environment
Bonus for special occasions each year (Labor Day, National Day, Solar New year, Lunar New Year)

Cập nhật gần nhất lúc: 2026-01-24 07:35:03