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Looking for GenAI internship/full-time roles! At Zomato, I built GPT-4o ticket systems, LLM eval pipelines & OCR tools (cut ops time 85%). For fun personal projects, Fine-tuned Mistral 7B for persona chat, built ANPR & haptic gloves too Skilled in P

The “Entry-Level” AI Engineer Job Description of 2025 🚨 HR today: > “We’re looking for someone who knows Python, OOP, NumPy, Pandas, SQL, Advanced Excel, Power BI, ALL ML/DL models, every AWS service, LangChain, Docker, Kubernetes, LLM fine-tuning

Walkin Drive in Hexaware for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer

Learn how to build a RAG application (!) using @eyelevelai with its super solid ETL pipeline for performing RAG on complex docs (!!) using @GroqInc for fast AI inference (!!!) and expose your local @FastAPI server over the internet via @ngrokHQ h

Hello #Medial #team i am searching Job my startup is on last 2 years jobless so pl support me. currently financial issue. lots off interview apply i am failed. i am mention job post. AI Product Manager – Medical AI Applications AI/ML Product Owne

Internship Alert – Vivid Mynd Technologies We're on the hunt for RAG-savvy interns! If you're into LlamaIndex, RAG concepts, and vector DBs like Chroma, this is your shot. Duration: 2 months Stipend: Fixed Who: College students or freelancers with

I have 7 years of experience in content development, content management, content strategy, editing, social media ops, branding, graphic designing, and recently LLM training (RAG, BBox, Prompt writing, Answer evaluation). I'm actively looking for new

𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻: 𝗧𝗵𝗲 𝗙𝗮𝘀𝘁𝗲𝘀𝘁-𝗚𝗿𝗼𝘄𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 LangChain is quickly emerging as the go to framework for developing AI agents and intelligent LLM-powered applications. In a short

I am thinking about an AI model with multiple languages support especially devnagari script languages , we are planning to build an RAG to parse a document and provide the data to the LLM , is this idea feasible and useful suggestions are welcomed

🚨 Everyone says "RAG is dead" — but I say: It’s just been badly implemented. I’ve worked on AI systems where Retrieval-Augmented Generation (RAG) either changed the game… or completely flopped. Here’s the hard truth 👇 --- 🤯 Most teams mess up