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About the role
Location: HSR Layout, Bangalore Experience: 3+ Years Work Mode: Hybrid Role Overview Looking for an experienced AI Developer with hands-on expertise in Generative AI, LLMs, RAG, AI Agents, and Machine Learning to build and deploy scalable AI solutions. Required Skills - Solid experience in Python, AI/ML, and Deep Learning. - Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG pipelines. - Experience with LangChain, LangGraph, AI Agents, Vector Databases, and Embeddings. - Knowledge of LLM models like OpenAI, LLaMA, Mistral, BERT, Claude, Qwen. - Experience with FastAPI/Flask, REST APIs, SQL databases. - Understanding of NLP, Model Evaluation, Docker, Git, and Cloud deployment (AWS/Azure). Responsibilities - Develop and deploy GenAI and LLM-based applications. - Build RAG-based solutions and AI Agent workflows. - Integrate AI models with enterprise applications through APIs. - Optimize AI solutions for performance, accuracy, and scalability. - Own end-to-end AI feature development. Preferred: Experience with AI chatbots, automation solutions, enterprise AI projects, and production-level GenAI applications. Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. Responsibilities [Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.] Example: Determine and develop user requirements for systems in production, to ensure maximum usability Qualifications [Some qualifications you may want to include are Skills, Education, Experience, or Certifications.] Example: Excellent verbal and written communication skills Skills: cloud,learning,enterprise,models,azure,automation,aws,skills,agents,databases .
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