GenAI Software Engineering Intern

Role Overview

Simplify Money is a fast-growing wealthtech startup building Kuber.AI, India’s first personal finance super agent. We are looking for a GenAI Software Engineering Intern to help build AI agent orchestration that automates financial tasks like tax filing and investment decisions. This is a fast-paced role in our Noida office where we ship real products to real users.

Responsibilities

• Build and deploy AI agents that automate complex financial workflows.
• Implement and optimize LLM orchestration and agentic workflows.
• Develop end-to-end features using Python and REST APIs.
• Work within a small, fast-moving team to ship production-ready code.

Requirements

• Strong proficiency in Python with the ability to write clean, production-grade code.
• Hands-on experience with LLM APIs (such as OpenAI, Anthropic, or Gemini).
• Deep understanding of Prompt Engineering, Embeddings, and RAG.
• Proven track record of building and defending an end-to-end project (GitHub link required).
• Proficiency with Git and ability to work with new documentation and REST APIs.

Nice to Have

• Experience with agent frameworks like LangChain, LlamaIndex, or LangGraph.
• Knowledge of Vector Databases such as Pinecone, Qdrant, Weaviate, pgvector, or FAISS.
• Experience with Fine-tuning, LoRA, or model evaluation.
• Familiarity with Docker and cloud deployment on AWS or GCP.
• Interest or experience in the fintech sector.

Skills

• Python
• LLM APIs
• RAG
• LangChain
• Vector Databases