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Propal AI is building the next generation of human-like voice agents for real-time conversations
using LLMs, speech models, and intelligent backend workflows. As a backend intern, you'll work
closely with our core engineering team to contribute to the development of scalable APIs, AI
agent infrastructure, and LLM-based systems.
This internship is ideal for someone passionate about large language models, APIs, vector
databases, and real-world applications of AI.
Duration: 36 months
Ideal for: Final-year students or recent graduates in CS/IT or related fields
About the Internship:
What You'll Work On
Assist in building RESTful APIs using Python (FastAPI preferred)
Develop and test components of our Retrieval-Augmented Generation (RAG) pipelines
Write clean, modular code for agent workflows and backend systems
Work with vector databases (FAISS/Pinecone/Weaviate) for knowledge search
Integrate STT, LLM, and TTS APIs into backend pipelines
Optimize the performance of data fetching, token usage, and latency in LLM queries
Collaborate in sprint planning, standups, and Git-based workflows
What We're Looking For
Solid Python programming skills and knowledge of OOP
Familiarity with FastAPI, Flask, or Django
Understanding of how APIs work (GET, POST, status codes, JSON)
Basic knowledge of databases (SQL or NoSQL)
Curiosity about LLMs, LangChain, or RAG-based systems
Git and version control fundamentals
Bonus Points For
Past projects or internships in AI, NLP, or backend development
Exposure to LangChain, OpenAI, HuggingFace, or vector DBs
Working knowledge of tools like Docker or Postman
Building bots, tools, or backend services independently
You'll Thrive Here If You
Love experimenting with AI and building real-world systems
Want to go beyond theory and contribute to production-grade code
Are self-driven, proactive, and eager to learn in a fast-paced environment
Communicate ideas clearly and seek continuous feedback
What You Get
Mentorship from a world-class AI + engineering team
Stipend + Certificate + PPO opportunity for high performers
Hands-on experience with state-of-the-art AI tools and frameworks
Impactful work on a live product used by businesses
Flexible, remote-friendly culture
Job ID: 127686593