AI Engineering Intern -Agentic AI

Company Description RaySoft.AI builds intelligent, human-centered conversational AI agents that automate scheduling, customer support, and operational workflows across channels such as WhatsApp, Instagram, SMS, and email. The company integrates seamlessly with existing communication systems to help teams reduce workload, improve response times, and provide 24x7 customer support. Its mission is to handle the repetitive, critical parts of business with human-like AI agents so organizations can focus on higher-value work. RaySoft.AI’s solutions help reduce wait times, increase self-service completion, and improve productivity while lowering costs. The company serves small, mid, and large-scale businesses and operates in both the US and India.
Responsibilities
Build conversational and agentic AI workflows using Python, LangGraph, CrewAI, and LLM APIs such as OpenAI and Anthropic.
Develop asynchronous backend services using FastAPI, async/await, PostgreSQL, and Redis.
Build RAG, agent memory, state-machine, tool-calling, and multi-step orchestration workflows.
Integrate AI agents with external APIs, databases, messaging platforms, and business applications.
Improve AI reliability through Pydantic, structured outputs, validation, retries, fallbacks, and evaluation.
Debug real-world AI workflows and take ownership of features from development through testing and deployment.
Qualifications
Pre-final/final-year B.Tech, M.Tech, MCA, or equivalent in Computer Science, AI, Data Science, or a related field.
Strong Python fundamentals with exposure to FastAPI, async programming, APIs, Git/GitHub, and SQL/PostgreSQL.
Hands-on experience with LLMs, RAG, LangGraph, CrewAI, Pydantic, agentic workflows, or similar AI technologies is a strong plus.
Prior AI/backend projects, GitHub contributions, hackathons, research, or deployed applications will help your application stand out.
Must be a self-starter who can research, experiment, troubleshoot, and work independently with reasonable guidance.
We are looking for builders. If you've created an interesting AI agent, RAG application, backend system, or other technically challenging project, please share your GitHub or project demo when applying. This is a PAID Internship.

Work arrangement
No