GenAI Full Stack (Intern / Founding Engg.)

A real-time AI-powered meeting companion designed to revolutionize online communication . A 'Jarvis for online meetings', empowering users to communicate smarter and drive better business outcomes. (https : / / jarwizai.com)

The real-time AI-Meeting co-pilot / companion ( built on Agentic-Rag framework & reinforced with NLP models) participates in online meetings, listens, analyzes, and provides real-time contextual prompts, completes actions, does web search, updates CRM, etc on your behalf.

Remote / 30k-60k / 0-2 years work ex / BE / BTech / Mtech / final year or graduated

Responsibilities :

Engage in GenAI / NLP projects that incorporate the latest developments in LLMs, RAGs, and AI Agents.

Research and implement advancements in Prompt engineering, Context engg., Memory, RAGs, Multi-Agentic AI, and model fine-tuning to create innovative AI solutions.

Design and build GenAI applications using LLM and AI tools.

Code, test, and iterate on various product hypotheses utilizing advancements in multimodal AI.

Conduct thorough testing and debugging to ensure high-quality, performant AI software.

Requirements :

Prior experience in GenAI / LLM projects and multiple live projects in Python & Javascript

Familiarity with AI Agent frameworks, such as Langgraph, Crew AI, LangChain, and LamaIndex.

Hands-on experience with RAG, Agents, Evals, Observability, and Datasets.

Familiarity with AI pipeline tools like PineCone, OCRs, LLM APIs, Agent Memory, Caching techniques, MCPs, etc

Understanding of FullStack development

Tech skills you should be familiar with :

Frontend : Next.js, TypeScript, WebSockets

Backend : Python (FastAPI / Flask), Node.js, PostgreSQL

Infra : Docker, Kubernetes, AWS / GCP, Vercel AI / GenAI :

STT / TTS (Whisper, Deepgram)

RAG (LangChain, LlamaIndex, Weaviate / Pinecone)

Agentic AI (LangGraph, CrewAI)