YOUR ROLE
A. Main Objective:
Design, build, and deploy end-to-end AI solutions, from data processing and model development to system integration, to solve real-world problems in business operations, automation, and content creation. Act as a bridge between AI technology and business needs, ensuring solutions are stable, efficient, and scalable in real-world environments.
B. Key Responsibilities:
1. Data management & pipeline:
- Collect, clean, and process data from multiple sources (databases, APIs, cameras, logs...).
- Build data pipelines (ETL, feature engineering) for training and inference.
- Manage datasets, versioning, and ensure data quality and security.
2. AI model development:
- Build, train, and optimize AI/ML/DL models.
- Develop solutions in Computer Vision, NLP, and Generative AI.
- Fine-tune models for specific datasets and use cases.
- Evaluate model performance and continuously improve results.
3. AI application development & integration:
- Deploy AI models via APIs, microservices, or batch processing.
- Develop applications using LLMs and open-source models (RAG, fine-tuning).
- Build AI agents and prompt chaining workflows to automate tasks.
- Integrate AI into existing systems (CRM, CMS, internal workflows, IoT...).
- Deploy systems using Docker, Cloud, or other suitable platforms.
4. Optimization & system monitoring:
- Monitor and evaluate performance (accuracy, latency, cost).
- Optimize processing speed, real-time capabilities, and operational cost.
- Set up monitoring, logging, alerting, and ensure system stability.
- Maintain and update systems based on feedback and technological changes.
5. Applied AI (GenAI & automation):
- Apply Generative AI for content creation (text, image, video).
- Build automation workflows (AI agents, prompt workflows).
- Optimize outputs based on data and user insights.
6. Solution consulting & design:
- Collaborate with Product, Tech, and Content teams to analyze problems and define AI use cases.
- Design end-to-end AI system architecture.
- Propose solutions aligned with business goals.
- Evaluate feasibility and ROI of AI solutions.
- Support internal training on AI applications.
7. Research & innovation:
- Stay updated with the latest AI trends and technologies.
- Experiment with and evaluate AI tools and models.
- Write technical documentation and internal guidelines.
- Propose innovative AI-driven ideas.
WHAT ARE WE LOOKING FOR
- Bachelor’s degree in Computer Science, AI, Data Science, or related fields.
- Ability to use English for work (reading technical documents, writing, basic communication).
- 2–5+ years of experience in Software Engineering or AI, preferably with real-world product deployment experience.
- Proficient in Python; knowledge of JavaScript/NodeJS is a plus.
- Experience with LLMs, Prompt Engineering, RAG, and Vector Databases (Pinecone, Milvus, Weaviate...).
- Experience working with APIs from OpenAI, Anthropic, Google Gemini, or open-source models.
- Experience in data processing, pipeline building, and AI model development.
- Experience deploying models via APIs/microservices in production environments.
- Experience with Docker/Kubernetes and Cloud platforms (AWS, GCP, Azure).
- Understanding of MLOps (MLflow, Airflow, ML CI/CD).
- Experience in Computer Vision or NLP.
- Experience with automation workflows, AI agents, or tools like n8n, Make, LangChain, LlamaIndex is a plus.
- Ability to translate business requirements into technical solutions.
- Strong system thinking, troubleshooting, and problem-solving skills.
- Solid understanding of Machine Learning fundamentals.
WHAT WE OFFER TO YOU
- Competitive salary and performance-based bonuses.
- Full social, health, and unemployment insurance as per Labor Law.
- A young, dynamic, and friendly work environment.
- Free skill training courses, exciting company trips, and a grand Year-end Party.
- 12 annual leave days + 13th-month bonus based on company performance and your contributions.
- Annual salary review and performance evaluation.
TIME & LOCATION
- Working hours: 09:00 – 18:00, Monday to Friday.
- Workplace: 207/7 Nguyen Van Thu Street, Da Kao Ward, District 1, Ho Chi Minh City.
APPLICATION
- Please send your updated CV to [email protected] with the subject line: “[Position] – Your Full Name”.
Join Prime Commerce to deliver exceptional customer experiences!
