AI Developer

Coordinate Complex AI Tasks: Design agents capable of managing intricate tasks like multi-database SQL queries or automated workflows.
Team Collaboration: Participate in meetings with stakeholders to understand workflows, provide insights, and educate teams on LLM capabilities and limitations.
Implement Intelligent Constraints: Create constraints to guide user interactions with LLMs, ensuring alignment with task objectives.
Software Development: Construct robust software solutions to process LLM responses and enable seamless integration with existing applications.
Prompt Design: Craft creative LLM prompts to guide the model toward specific tasks, ensuring alignment with desired outcomes.
Meeting Participation: Actively engage in design meetings, standups, and planning sessions to collaboratively develop and deliver solutions.

Oppoturnity to work with caliber project with client in Vietnam and aboard
Dynamic and flexible environment with positive team mates
Premium Healthcare insurance to protect your health, and annual health check
Oppoturnity to develop your career path
Competitive income with comission for new deal and anual performance bonus
Provide laptop for working
Annual company trip, Team Building, Happy hours, Birthday Activities...
And other benefits according to labor law.

Expertise in Large Language Models: Experience working with state-of-the-art LLMs like GPT-4, Llama 2, and other open-source models.
Minimum 1 year of experience in LLM.
Technical Skills: Proficiency in Python or C# and adeptness in modern development environments including Git, Anaconda, PIP, Docker, and Cloud services.
Application Development: Demonstrable skills in developing LLM-based applications such as chatboxes, virtual assistants, and virtual agents.
Prompt Engineering: Hands-on experience in prompt engineering to guide LLMs effectively.
Data Engineering Skills: Experience working with Semantic Kernel, LangChain, and VectorDB.
Production-Grade Coding: Ability to develop production-ready standalone libraries, going beyond typical "notebook code."
Up-to-date Knowledge: Must be current with the latest technologies, frameworks, and news in LLM and AI.
Problem-solving and Communication: Individual contributor mindset with robust problem-solving and communication skills.