10 years
0 Lacs
Posted:1 month ago|
Platform:
On-site
Full Time
At Botminds AI, we’re redefining end-to-end document automation with Generative AI, LLMs, and Retrieval-Augmented Generation (RAG). We’re looking for seasoned AI/ML professionals who are passionate about turning cutting-edge research into real-world impact.
Build LLM-powered solutions for document understanding, summarization, and QA
Architect RAG pipelines using vector DBs and embedding models
Fine-tune open-source LLMs (LLaMA, Mistral, Falcon, etc.)
Lead POCs with OpenAI, Claude, Gemini, etc. and benchmark results
Collaborate with engineering/product teams to ship ML features
Work with OCR outputs, unstructured data, and knowledge bases
Stay updated on GenAI, LLM, and retrieval trends
10+ years of experience in ML, AI, and NLP | 2+ years specializing in LLMs and Generative AI
Strong skills in Python, PyTorch/TensorFlow, Hugging Face, LangChain
Experience with vector DBs (FAISS, Pinecone, Qdrant, Weaviate)
Proven RAG pipeline development and prompt engineering
LLM fine-tuning, quantization, scalable deployment expertise
Bonus: OCR tools experience (Azure Form Recognizer, Tesseract, Google Vision)
Solid understanding of MLOps and scalable ML systems
Be on the frontlines of GenAI-powered enterprise automation
Work in a lean, elite team that ships high-impact features fast
Flat hierarchy, high ownership, innovation-first culture
Shape the future of intelligent document processing
📩 Interested or know someone who fits?
Botminds AI
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