AI Engineer

AI Agent & Chatbot Development

Ensure chatbot responses are accurate, contextual, and aligned with public health values.
Design and implement AI- driven chatbots using LLMs (e.g., GPT, LLaMA, Mistral, etc.).
Build domain- specific pipelines to integrate organizational/public health knowledge into conversational agents.

Search & Personalization

Develop semantic search engines and retrieval- augmented generation (RAG) pipelines.
Implement personalization features (user profiling, adaptive responses).
Optimize relevance and ranking for search results using ML/AI techniques.

Virtual Assistant Capabilities

Extend AI agents to support virtual assistant features: task reminders, workflow automation, and knowledge support.
Integrate with productivity tools (calendars, CRM, digital platforms).

Technical Development & Integration

Ensure scalability, performance optimization, and responsible use of AI.
Fine- tune and deploy LLM models in secure and efficient environments.
Collaborate with cross- functional teams (Product Owner, developers, domain experts, QA).

Data Engineering & Preparation

Collect, clean, and preprocess structured and unstructured datasets for model training.
Build and maintain pipelines for knowledge ingestion (documents, APIs, databases).
Ensure data quality, labeling consistency, and bias mitigation.

Model Training, Evaluation & Deployment

Apply evaluation metrics (accuracy, precision, recall, F1, BLEU/ROUGE for NLP).
Train, fine- tune, and evaluate ML/LLM models on custom datasets.
Automate deployment workflows using CI/CD pipelines and MLOps best practices.

Monitoring & Continuous Improvement

Implement feedback loops for continuous learning and model updates.
Detect and mitigate model drift or degraded performance.
Monitor model performance post- deployment (latency, accuracy, hallucination rates, user adoption).

Security, Ethics & Compliance

Ensure compliance with data protection and ethical AI principles (privacy, fairness, transparency).
Implement safeguards to reduce risks of hallucinations, misinformation, and bias in chatbot outputs.

Innovation & Documentation

Stay updated with AI/ML advancements, particularly in LLMs, agent frameworks, and healthcare AI.
Document development processes, model architectures, and APIs.
Contribute to knowledge- sharing sessions and training for internal teams.

Yêu cầu công việc

English and Vietnamese proficiency (French is an asset).
Minimum 2 years of hands- on AI/ML experience, especially with LLM- based applications.
Experience in digital health or LMIC settings is highly desirable.
Proven track record in building chatbots, AI agents, or virtual assistants.
Strong coding skills in Python and frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex).
Familiarity with MLOps, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).
Excellent problem- solving and analytical skills.
Bachelor’s degree in Computer Science, AI/ML, Data Science, or related field (Master’s preferred).
Understanding of semantic search, personalization algorithms, and RAG pipelines.

Tại sao bạn sẽ yêu thích làm việc tại đây

Social, health, unemployment insurance & PIT payment policy
15 annual leaves
Two- month probation with 100% of net salary
A friendly, supportive, multicultural, and open- minded working environment with full potential to challenge and develop your skill and mindset; and with colleagues come from different nations: Vietnam, France, and African countries
Working time: 8:30 – 18:00 (Monday – Friday). Days Off: Saturday – Sunday; holidays, Tet in accordance with Vietnam Labour Law and Christmas day
Flexible working hour
PVI health insurance package
One- year contract with potential extension based on the working performance
A chance to work with international organizations: Gavi, WHO, UNICEF; and the Ministry of Health in many foreign countries

Cập nhật gần nhất lúc: 2025-11-08 18:50:03