Full Stack Founding Engineer

3 days ago

Bengaluru India Stealth Startup Full time

Job Description

A real-time AI-powered meeting assistant designed to revolutionize online communication . A &aposJarvis for online meetings&apos, 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 / 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 Next.js, 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: Next.js, 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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