Freelance AI Specialist Engineer
Vega International is looking for a skilled strong AI Specialist strong with strong hands-on experience in strong Agentic AI Generative AI AI assistants and intelligent workflow automation strong 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
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