AI Engineer (Hybrid)

Job Description Roles & Responsibilities 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 : - 3+ 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. Company Industry IT - Software Services Department / Functional Area IT Software Keywords AI Engineer (Hybrid) Get real-time job updates only on our App