About the job AI Engineer (Hybrid)Job Description : - Design, develop, and deploy AI agents capable of performing autonomous tasks.- Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).- Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability- Implement communication between agents using agent orchestration frameworks.- Automate workflows for sales, project management, accounting, and localization.- Collaborate with backend and frontend teams to integrate AI services.- Conduct prompt engineering and evaluation of model outputs.- Ensure the scalability and performance of AI systems in production environments.Job Requirement : - 1+ years of experience in AI/ML engineering or applied NLP.- Strong experience with LLMs and frameworks like LangChain, AutoGen, or CrewAI.- Solid Python skills; familiarity with FastAPI or Flask is a plus.- Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).- Experience deploying models using Docker or cloud environments.- Understanding of multi-agent systems and conversational workflows.- Familiarity with version control (Git) and CI/CD practices.