Full Stack Founding Engineer

5 days ago

Bengaluru, Karnataka, India Stealth Startup Full time ₹ 30,000 - ₹ 50,000 per year

A real-time AI-powered meeting assistant designed to revolutionize online communication . A 'Jarvis for online meetings', empowering users to communicate smarter and drive better business outcomes. )

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 / Full-Time / Stipend - INR 30K-50K / 0-2 years work ex / BE/BTech/Mtech (final year/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, 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 hands-on FullStack development experience with the stack , FastAPI, AWS, PostGres, Prisma, MongoDB.
  • Prior experience in GenAI/LLM projects.
  • Hands-on experience with RAG, Agents, Evals, and Datasets.
  • Familiarity with AI Agent frameworks, such as Langgraph, Crew AI, LangChain, and LamaIndex.
  • Knowledge of no-code/low-code platforms like Replit, Vercel, and Cursor AI.

Tech skills you should be familiar with:

  • Frontend: , TypeScript, WebSockets
  • Backend: Python (FastAPI / Flask), PostgreSQL
  • Infra: Docker, Kubernetes, AWS/GCP, Vercel AI/GenAI:
  • STT / TTS (Whisper, Deepgram)
  • RAG (LangChain, LlamaIndex, Weaviate / Pinecone)
  • Agentic AI (LangGraph, CrewAI)
  • Real-time audio/video processing (WebRTC, )
  • Other: Firebase, Supabase, REST APIs, No-Code/Low-Code (Replit, Streamlit)

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