AI Engineer (Middle/Senior)

Job Description
Join in developing and applying the ML/DL techniques to resolve our client's business problems such as building Chatbot/Agentic/advanced RAG systems, LLM/Prompt, OCR systems, fraud detection systems, facial recognition systems...
Join in developing some internal products applying AI models
Job Requirements
MUST HAVE SKILLS
Have programming skills in one of these languages: Python...
At least 2 years of experience working with AI/ML projects as a Data Engineer, Research Engineer, or Software Engineer.
Have experience with one of ML/DL Frameworks: Tensorflow, Pytorch, scikit-learn, Pandas, Langchain, Langraph, LlamaIndex...
Have experience working with OpenAI, Claude, Gemini, any LLM... to build Agentic Solution, Workflows, or advanced RAG systems, using MCP, Tool call, handling Agent Memory/Context.
Have experience with one of chatbot building frameworks or services, Agentic System.
Familiar with OCR algorithms or services: OpenCV, Tesseract, Textract (AWS), Google Cloud Vision, PaddleOCR.
Experience with common development tools: Linux, GPU server, Google Colab, Jupyter, Git, Docker, vLLM, Ollama.
Understanding of LLM security risks and mitigation techniques: prompt injection, jailbreaking, data/PII leakage, and adversarial inputs.
Experience implementing guardrails for LLM/agentic systems (e.g., input/output validation, content moderation, PII redaction, rate limiting, tool-call permission scoping) using frameworks/services such as Guardrails AI, NeMo Guardrails, Llama Guard, Presidio, or custom rule-based/classifier approaches.
Good English proficiency and communication skills.
NICE TO HAVE
Experience with backend web development (Flask, Django, FastAPI)
Experience with SQL database (PostgresSQL, MySQL), NoSQL database (MongoDB), Vector database (Qdrant, Chroma, OpenSearch, PgVector...)
Experience with building APIs and services using REST, SOAP, SSE, Websocket etc.
Experience in MLOps system: MLflow, DVC, Feature Store, Airflow, CI/CD...
Experience in Generative AI, Large Language Model, Prompt/Context Engineer, Diffusion model, HuggingFace, Ollama, LlamaCPP
Familiarity with responsible AI practices: bias/fairness evaluation, red-teaming LLM applications, and audit logging for compliance.
Knowledge of secure API design and authentication/authorization patterns (OAuth2, API key scoping, least-privilege access) for AI service endpoints.
Skills Tags: AI, Chatbot, Agentic System, NLP, Computer Vision, DB, Git, LLM, Security, Guardrail, Responsible AI
Benefits
Competitive Salary and Brilliant Health Benefits
Attractive salary (13th-month salary, salary review twice/year) and project bonus
Bonus programs for candidate referral, technical article writing
Allowance for sickness, maternity, paternity and periodic health examination
PVI health care program
The staff of the quarter and year reward
Progressive and Fun Working Environment
A professional English-speaking working environment with Agile - Scrum model
Hybrid Working Model: Flexible working time and WFH support.
Surrounded with friendly, open-minded, young and supportive colleagues
Annual company trip and regular team-building parties, party celebration (Christmas, Birthday, Mid-autumn,...), Sports clubs (football, badminton, swimming ...)
Valuable Training
Sponsor examination fee for professional certificates (AWS, Azure, IELTS, PMP, Scrum Master,...)
Sponsor fee for joining any technical training sessions and courses.
Free English workshops