디노티시아

Mission of ​the ​Role 

We ​are currently ​looking for talented individuals ​to ​join our ​team in the ​development of ​high-performance ​vector databases, ​RAG ​systems, ​and AI agent ​software ​for automating and ​optimizing ​workflows. ​The role involves ​developing AI ​agent ​software (command-line ​interface or ​web-based ​agents), and incorporating ​advanced features ​like multi-agent context management, tool calling, and agentic workflow design. 

Roles and Responsibilities 

• Design and develop AI agent software to automate coding and development tasks, offering functionality through command-line interfaces (CLI) or web-based platforms 
• Implement MCP (multi-command processing) tool calling to enable seamless interaction between AI agents and external tools 
• Develop agentic workflows that involve multiple agents working together to accomplish complex tasks efficiently and intelligently 
• Implement context management techniques to ensure that AI agents maintain context and continuity across different tasks and workflows 
• Integrate AI agents into existing vector database and RAG systems to optimize workflows, improving automation and reducing manual intervention 
• Ensure smooth communication between agents for collaborative task management and contextual awareness 
• Collaborate with cross-functional teams to ensure AI agents are effective, efficient, and aligned with product goals 
• Stay up-to-date with the latest advancements in AI, agent-based systems, and software development technologies 

Basic Qualifications 

• Bachelor’s or Master's degree in Computer Science, Engineering, or a related field 
• Proven experience in software development, especially in AI agent software and workflow automation 
• Strong knowledge of Python, C++, or similar programming languages 
• Experience in developing command-line interfaces (CLI) or web-based applications 
• Familiarity with AI agents, tool calling, and multi-agent systems 
• Experience with context management and task delegation in distributed systems or agent-based architectures 
• Knowledge of cloud platforms (AWS, GCP) and distributed systems 
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment 
• Strong communication and teamwork skills 

Preferred Qualifications 

• Experience with multi-agent coordination, workflow automation, and advanced AI agent architectures 
• Familiarity with machine learning models, including natural language processing (NLP) and large language models (LLMs) 
• Experience with microservices and API integrations for AI agent functionality 
• Familiarity with DevOps practices, CI/CD pipelines, and version control systems (e.g., Git) 
• Experience with containerization and orchestration (e.g., Docker, Kubernetes) 

Benefits and Perks 

• Flexible work hours 
• Complimentary lunch and snacks 
• Birthday gift 
• Cozy massage chair 
• Motion desk support and personalized work equipment credit program 
• Bereavement expenses and bereavement leave  
• Siesta capsules 
• Complimentary annual health checkup 
• Assistance in purchasing work-related books 

Recruitment Process 

Application Review - Practical Interview - Executive Interview - Reference Check - Offer    

* Please be aware that the recruitment processes & schedules may be changed depending on the job and/or other circumstances 

Dnotitia is building a global tech company culture that respects individual diversity. We do not discriminate on the basis of age, nationality, gender, background, or any other factor unrelated to job competency in the hiring process and provide equal opportunity to all applicants. 

We encourage you to apply to Dnotitia, where top talent from various fields work together.  

If you have any questions about our hiring process, please feel free to contact our HR team.  

HR Team e-mail: [email protected]