Freelance AI Specialist Engineer

Job Description Roles & Responsibilities Vega International is looking for a skilled AI Specialist with strong hands-on experience in Agentic AI, Generative AI, AI assistants, and intelligent workflow automation. The ideal candidate should be able to design, develop, and implement AI agents that can perform tasks, interact with business systems, analyse information, and automate operational workflows. Key Responsibilities Develop and deploy Agentic AI solutions and autonomous AI assistants. Build multi-agent workflows for business process automation. Design AI-powered chatbots and virtual assistants. Integrate AI agents with CRM, ERP, WhatsApp, email, websites, and internal business systems. Develop Retrieval-Augmented Generation (RAG) solutions using company documents and databases. Integrate Large Language Models through APIs. Create AI automation solutions for recruitment, training, procurement, customer service, and business operations. Test, monitor, troubleshoot, and improve AI agent performance. Ensure data security, accuracy, reliability, and responsible AI implementation. Work closely with business teams to convert operational requirements into practical AI solutions. Preferred Qualifications Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or a related field. Previous experience implementing Agentic AI solutions for real business use cases. Portfolio, GitHub profile, live AI applications, or completed AI automation projects will be highly preferred. Application Requirements Candidates should submit: Updated CV. Portfolio or GitHub profile. Details of Agentic AI projects completed. AI frameworks and automation tools used. Current location, notice period, and expected salary. Desired Candidate Profile Required Skills Strong knowledge of Agentic AI and Generative AI. Hands-on experience with Python and AI/LLM APIs. Experience with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar tools. Understanding of RAG, vector databases, embeddings, prompt engineering, and function calling. Experience integrating AI applications with third-party APIs and business platforms. Familiarity with workflow automation platforms such as n8n, Make, Zapier, or Power Automate. Knowledge of cloud platforms such as Azure, AWS, or Google Cloud is preferred. Strong problem-solving and communication skills. Ability to independently build AI solutions from concept to deployment Employment Type Part Time Company Industry ConsultingManagement ConsultingAdvisory Services Department / Functional Area Product DevelopmentProduct Management Keywords AI EngineerAI Solutions ArchitectData Scientist AI FocusNatural Language ProcessingMachine LearningIntelligent Systems DeveloperMachine Learning EngineerCognitive Solutions EngineerApplied AI ScientistAI Engineering Get real-time job updates only on our App