KATBOTZ®

AI Engineer

• Develop and deploy Agentic AI systems using frameworks like LangChain, CrewAI, AutoGen, etc.
• Build applications using Large Language Models (OpenAI, Claude, Llama, etc.)
• Design and implement Predictive AI / Machine Learning models
• Develop AI chatbots, automation tools, and AI assistants
• Work on RAG (Retrieval Augmented Generation) systems
• Integrate AI solutions with web applications, CRMs, and enterprise systems
• Fine-tune and optimize LLM models
• Work with structured and unstructured data
• Deploy AI models on cloud platforms (AWS, Azure, GCP)
• Collaborate with business and product teams to identify AI use cases

AI Developer, AI Engineer – Agentic AI, LLM, Predictive Analytics

• Build and maintain ML pipelines for training, testing, and deployment
• Deploy machine learning and AI models into production environments
• Manage model lifecycle (training, deployment, monitoring, retraining)
• Automate workflows using CI/CD for ML models
• Monitor model performance, drift, and data quality
• Work with data scientists and AI developers to productionize models
• Manage model versioning, data versioning, and experiment tracking
• Deploy models on cloud platforms (AWS, Azure, GCP)
• Containerize applications using Docker and Kubernetes
• Implement monitoring and logging for ML systems
• Ensure scalability, security, and reliability of AI systems

AI Developer, AI Engineer – Agentic AI, LLM, Predictive Analytics

AI Engineer – MLOps