Artificial Intelligence Engineer, Kalaburgi

Job Summary Location - Pan India Exp - 6 year We are seeking a skilled Gen AI&Agentic AI Developer to design, develop, and deploy intelligent AI-driven solutions. The ideal candidate will have strong expertise in Generative AI, LLM frameworks, cloud platforms, and agentic workflows, with hands-on experience in building scalable and production-ready AI systems. Required Technical SkillsGenerative AI&LLM Frameworks - Vector Databases: AWS OpenSearch, Kendra, FAISS, Pinecone - Embeddings: Word2Vec, BERT, Sentence Transformers Frameworks&Toolkits - AWS Bedrock - LangChain, LangGraph, LlamaIndex Cloud Platforms - AWS (Preferred) - Azure Agentic AI&Automation - AWS Bedrock Agents - LangGraph - AutoGen, CrewAI Programming&ML Skills - Languages: Python (Mandatory), SQL (Postgres) - Databases: DynamoDB, MongoDB, Neo4j, Neptune - Libraries: NumPy, Pandas, Boto3, Plotly, Matplotlib, Seaborn, ggplot - Requests, BeautifulSoup, NLTK - Scikit-learn Machine Learning&Deep Learning - Supervised, Unsupervised, and Ensemble learning - Frameworks: TensorFlow, PyTorch Web Development - Django, Flask, FastAPI Conversational AI - LLM-based chatbot development - Traditional NLP pipelines - UI Tools: Streamlit, Gradio Key Responsibilities - Design, develop, and fine-tune AI models using:- Prompt engineering - Model fine-tuning - Retrieval-Augmented Generation (RAG) - Build and optimize LLM workflows using LangChain, LangGraph, and LlamaIndex - Develop and orchestrate intelligent agents and agentic AI systems - Integrate vector databases and embedding models for semantic search- Develop, test, and deploy AI-powered chatbots and applications - Apply ML/DL models for classification, regression, and segmentation tasks - Integrate AI solutions with APIs and enterprise platforms - Collaborate with cross-functional teams to deliver production-grade solutions Pre-Screening Questions- Total years of experience - Experience working as a Gen AI Developer