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Generative AI Engineer
4 weeks ago
Kroolo is reshaping the way people work with a fully integrated Productivity Platform coupled with cutting-edge AI. Our platform seamlessly integrates Projects, Goals, Tasks, Documents, and Collaboration, providing a holistic solution for the way business works today. With an AI-powered efficiency, seamless integration, and an intuitive workspace, Kroolo brings together all essential tools in one centralized workspace.
Role Description
This is a full-time remote role for a Generative AI Engineer at Kroolo. As a Generative AI Engineer, you will be responsible for developing and implementing AI models and algorithms to enhance the productivity platform. You will collaborate with cross-functional teams to design and optimize AI solutions, conduct experiments, and provide technical expertise. Additionally, you will contribute to the overall AI strategy and help drive innovation in the field of generative AI.
What you need to do?
- Sign up with Kroolo (kroolo.com)
- Review the current GenAI use cases and suggest what you can do to improve or provide better use cases.
- Submit the review report with your updated CV
Key Responsibilities
- Develop and maintain Python-based backend services using FastAPI and Django frameworks
- Design, implement, and optimize AI-powered features and functionalities using agentic frameworks like LangChain, CrewAI, and AutoGPT
- Create and deploy custom AI agents for workflow automation and productivity enhancement
- Build efficient task processing systems using Celery for background job handling
- Implement parallel processing techniques to enhance system performance
- Maintain and improve existing AI applications and server infrastructure
- Collaborate with cross-functional teams to integrate AI capabilities into our product ecosystem
- Participate in code reviews, testing, and debugging to ensure high-quality code
- Stay updated with the latest developments in generative AI and implement innovative solutions
Required Qualifications
- 1-2 years of experience in Python development with a focus on backend services and AI applications
- Proficiency in FastAPI and Django web frameworks
- Experience integrating and working with LLM APIs (OpenAI, Anthropic, etc.)
- Experience with agentic AI frameworks such as LangChain, CrewAI, AutoGPT, or similar tools for building autonomous AI agents
- Strong knowledge of Celery for distributed task processing
- Experience with parallel processing techniques and optimization
- Understanding of RESTful API design principles
- Familiarity with containerization (Docker) and cloud services
- Experience building and deploying AI applications in production environments
- Strong problem-solving skills and attention to detail
Preferred Qualifications
- Experience with Large Language Models (LLMs) and generative AI technologies
- Knowledge of Retrieval-Augmented Generation (RAG) techniques
- Experience with vector databases and embedding techniques
- Familiarity with prompt engineering and LLM fine-tuning methodologies
- Experience building multi-agent AI systems for complex workflow automation
- Experience with real-time communication protocols (WebSockets)
- Familiarity with Git version control and CI/CD pipelines
- Understanding of DevOps practices
- Contributions to open-source projects