Agentic AI Engineer

Key Responsibilities

• AI Development
• Design and implement Retrieval-Augmented Generation (RAG) systems to improve document search, summarization, and knowledge retrieval. 
• Fine-tune and deploy large language models (LLMs) for specific use cases, ensuring high performance and accuracy.
• Develop APIs for seamless integration of generative AI solutions into existing platforms.

Data Insights & Analytics

• Analyze large, complex datasets to uncover patterns and actionable insights using AIpowered tools.
• Build predictive models and algorithms to support data-driven decision-making.
• Collaborate with stakeholders to translate business challenges into AI solutions.

Solution Deployment

• Collaborate with engineering teams to ensure robust deployment of AI models in production environments.
• Optimize AI systems for scalability, performance, and cost-efficiency.
• Monitor and maintain AI models, addressing issues related to accuracy, drift, and user feedback.

Collaboration & Innovation

• Work closely with data scientists, software engineers, and domain experts to design and implement cutting-edge AI solutions.
• Stay updated on the latest advancements in generative AI and LLM technologies, recommending innovative approaches.
• Contribute to knowledge-sharing sessions and team growth in AI best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field PhD preferred.
• Proven experience with large language models (e.g., GPT, LLaMA) and related frameworks (e.g., Hugging Face, LangChain).
• Strong proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow).
• Hands-on experience with Retrieval-Augmented Generation (RAG) techniques.
• Expertise in natural language processing (NLP), deep learning, and data analytics.
• Familiarity with cloud platforms (e.g., AWS, Databricks) and containerization tools (e.g., Docker, Kubernetes).
• Excellent problem-solving and communication skills, with the ability to work collaboratively in a team environment.

HOW TO APPLY: Please send your CV to the consultant in charge:

Ms. Tu Anh

E-mail: anh.duong@ev-search.com

All applications will be considered without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.