By Human Resources Department
ABOUT US
GaneshAID is a women-led humanist consultancy dedicated to saving more lives in low- and middle-income countries.
Our organization specializes in improving global health while respecting ethical and humanistic principles.
We are proud to support organizations and governments in developing practical, innovative approaches to solve persistent problems of inequity and low health coverage. Together with its partners, GaneshAID provides knowledge on trends in innovations and provides new ideas that support the strategic agenda of organizations, governments, and communities.
We pay particular attention to the needs of vulnerable populations, while ensuring that the proposed solutions are not only focused on economic efficiency or technical management, but also integrate values such as human dignity, equitable access to care, and community participation.
For more information, please visit:
Our website: https://ganeshaid.com/en/
Our LinkedIn page: https://www.linkedin.com/company/ganeshaid/
Job title: AI Engineer (Conversational AI & Intelligent Agents)
Location:
Supervisor: IT Project Manager
Purpose:
The AI Engineer will lead the design, development, and deployment of AI agents (LLM-driven) that can:
- Support the development of virtual assistants to improve organizational workflows and user engagement.
- Power chatbots with domain-specific knowledge (public health, immunization, and organizational expertise).
- Integrate with search engines and knowledge bases to deliver precise, contextual responses.
- Provide personalized recommendations and adaptive learning experiences for diverse users.
Responsibilities:
1. AI Agent & Chatbot Development
- 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.
- Ensure chatbot responses are accurate, contextual, and aligned with public health values.
2. 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.
3. 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).
4. Technical Development & Integration
- Fine-tune and deploy LLM models in secure and efficient environments.
- Ensure scalability, performance optimization, and responsible use of AI.
- Collaborate with cross-functional teams (Product Owner, developers, domain experts, QA).
5. 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.
6. Monitoring & Continuous Improvement
- Monitor model performance post-deployment (latency, accuracy, hallucination rates, user adoption).
- Implement feedback loops for continuous learning and model updates.
- Detect and mitigate model drift or degraded performance.
7. 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.
8. 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.
Qualifications, competencies and experience:
- Bachelor’s degree in Computer Science, AI/ML, Data Science, or related field (Master’s preferred).
- Minimum 2 years of hands-on AI/ML experience, especially with LLM-based applications.
- 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).
- Understanding of semantic search, personalization algorithms, and RAG pipelines.
- Excellent problem-solving and analytical skills.
- English and Vietnamese proficiency (French is an asset).
- Experience in digital health or LMIC settings is highly desirable.
Key Deliverables:
- Functional AI chatbot integrated with domain knowledge.
- Semantic search engine with RAG pipeline.
- Personalization module tested with end-users.
- Virtual assistant prototype (if feasible in project timeline).
- Technical documentation (system design, APIs, models).
- Reports on usage metrics, performance, and adoption.
What we offer:
- Probation with 100% of net salary;
- One-year contract with potential extension based on the working performance;
- Working time: 8:30 – 18:00, Monday – Friday (with flexibility);
- 15 annual paid leaves; 2 Sick Leaves, 1 Birthday Leaves
- Social insurance contributions based on full salary after probation;
- Days Off: Saturday – Sunday; holidays, Tet in accordance with Vietnam Labour Law and Christmas day;
- Annual team-building activities to strengthen collaboration and creativity;
- Events celebrating cultural holidays, birthdays, and organizational milestones;
- Optional participation in sports, or CSR activities organized by the team.
- A friendly, supportive, multi-cultural 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;
- A chance to work with international NGO customers: Gavi, WHO, UNICEF; and Ministry of Health in many foreign countries.
HOW TO JOIN?
Interested applicants are kindly requested to complete the application form via the following link.
Please click here to apply. Shortlisted candidates will be contacted for further evaluation.
GaneshAID values diversity and welcomes applicants of all backgrounds, as we believe that different perspectives and experiences enrich our work and enable us to better serve the communities we work with.
