Role Description

This is a full-time internship position based in
Pune
, with flexibility for hybrid work. As a
GenAI Engineer Intern
, you will work on building AI-powered features for Tickernaut's financial intelligence platform. You'll contribute to developing LLM-powered workflows, Retrieval-Augmented Generation (RAG) systems, AI agents, and document intelligence pipelines that transform financial filings, news, and market data into actionable insights.

You will collaborate closely with the founding team to prototype and deploy production-ready AI solutions, optimize prompts and retrieval pipelines, evaluate model performance, and experiment with the latest advancements in Generative AI. This is an opportunity to work on cutting-edge AI applications in finance with significant ownership and real-world impact.

Qualifications
- Strong understanding of Generative AI, Large Language Models (LLMs), Machine Learning, and AI fundamentals.
- Proficiency in
Python
with experience building AI applications.
- Familiarity with frameworks such as
LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK,



or similar AI frameworks
.
- Understanding of
RAG, embeddings, vector databases (FAISS, pgvector, Pinecone, Weaviate, etc.)
, and prompt engineering.
- Experience with APIs, JSON, REST services, and Git.
- Exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
- Basic knowledge of
FastAPI
, SQL, and databases is preferred.
- Interest in financial markets and investment research is a bonus but
not mandatory
.
- Robust analytical thinking, curiosity, and willingness to learn rapidly.
- Excellent communication and collaboration skills.
- Currently pursuing or recently completed a degree in
Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
.

What you will work on
- Build AI agents and autonomous workflows
- Develop data pipelines over financial data
- Experiment with the latest LLMs and prompt engineering techniques
- Build evaluat

📌 Gen AI Engineer Intern (Pune Division)
🏢 Tickernaut
📍 Pune Division