AI Engineer - Remote

1. Analyze opportunities for Artificial Intelligence solutions across different business models;
2. Conduct meetings with clients to understand their needs
3. Design Retrieval-Augmented Generation (RAG) solutions in Azure;
4. Be responsible for AI projects in all stages, from problem understanding to
optimization;
5. Lead the development of Generative AI solutions and related systems;
6. Develop automated data ingestion flows;
7. Create performance metrics;
8. Prepare testing plans for AI solutions to ensure delivery quality;
9. Edit query prompts;
10. Build project reports and documentation;
11. Prepare presentations of results for internal and client-facing use.

Working time: By Vietnam and Overlap Max time is 4 hours by the time of guests (US time), specifically about working time, customers will discuss directly in the interview according to Case by case

1. Expertise in integrating ML and Generative AI solutions, with emphasis on RetrievalAugmented Generation (RAG) and LLMs (Large Language Models)
2. Experience in development using Node;
3. Experience in creating automated data ingestion flows for use in RAG systems;
4. Advanced knowledge of cloud solutions, with strong experience in Azure (AI
Document Intelligence, OpenAI, and other AI components) and AWS (Bedrock);
5. Experience with chat APIs and integration with solutions like ChatGPT;
6. Ability to work with large volumes of data and integrate semantic and vector
systems, including embeddings and vector databases;
7. Experience with cloud-based architecture solutions, particularly in Azure and AWS,
especially using semantic databases and search mechanisms;
8. Strong Python skills for scalable AI solution development and integration.

Nice to Have:
1. Practical knowledge of frameworks such as LangChain and PromptFlow;
2. Knowledge of Interactive Voice Response (IVR) systems.

- Salary:
+ 3-5 yoe: upto 30M
+ >5 yoe: 38M
- Receive 100% salary from the onboarding date.
- Participate in company activities: Monthly and quarterly parties, teambuilding, travel, vacation and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.