AI Engineer @Glidecloud Solution | LLM Systems | RAG, Agents & Production AI
Remote
B.Tech - Artificial Intelligence and Data Science
Vishwakarma Institute of information technology
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🤖 Generative AI Engineer | LLM Systems | RAG, Agents & Production AI I work as a Generative AI Engineer, building LLM-powered systems that run in production—not demos. My focus is on turning large language models into reliable, scalable software components. That means designing RAG architectures, agentic workflows, and evaluation pipelines that hold up under real traffic, real users, and real constraints. 🚀 What I deliver End-to-end RAG systems (embeddings, chunking, hybrid search, reranking) LLM agents with tool use, memory, and deterministic control flow Prompting strategies that survive edge cases and user abuse Hallucination reduction via retrieval, validation, and scoring Backend integration using Python, FastAPI, and async workflows Monitoring, cost control, and iteration in production environments 🛠 Tech I use daily Python • FastAPI • LangChain Vector DBs: Chroma, FAISS, Pinecone OpenAI & open-source LLMs • Docker • SQL • Git I’m focused on shipping dependable GenAI products, not chasing hype or fragile proof-of-concepts. 💬 If you’re working on real-world LLM systems, we’ll have a productive conversation.
Pune District
anthropic apis
antigravity
claude code
gemini
AI Engineer at Glidecloud Solution, Jan 2026 - Present · 7 mos, Remote
B.Tech - Artificial Intelligence and Data Science, Vishwakarma Institute of information technology