Gen AI Engineer Intern

Setoo; Pune District; On-site; INR 167,000 - 279,000; Full time

Job summary

Setoo is offering a Gen AI Engineer Intern position in Pune to build and deploy generative AI solutions. The role emphasizes LLM implementation, RAG pipelines, and prompt engineering within our product ecosystem.

The candidate will work with OpenAI and open-source models, explore API integrations, and continuously evaluate model outputs for safety and quality. This internship leads to a PPO for high performers.

Qualifications

• Strong Python coding including data structures and asyncio.
• Knowledge of transformers, embeddings, and tokenization.
• Experience with RESTful APIs and JSON.
• Ability to research AI papers and implement findings.

Responsibilities

• LLM implementation with LangChain, LlamaIndex, or AutoGPT.
• Develop RAG pipelines using vector databases (Pinecone, ChromaDB, Weaviate).
• Design and optimize prompts to reduce hallucinations.
• Integrate LLMs into core software products via APIs (OpenAI, Anthropic, or HuggingFace).
• Test and evaluate the performance and safety of AI outputs.

Skills

Advanced Python

AI/ML Fundamentals

APIs & REST

Prompt Engineering

Transformer Knowledge

Embeddings/Tokenization

Problem Solving

Education

B.E./B.Tech (CSE/IT), MCA, or M.Sc. IT

Job description

Role: Gen AI Engineer Intern (Leading to PPO)

Education: B.E./B.Tech (CSE/IT), MCA, or M.Sc. IT

Focus: Building, fine-tuning, and deploying Generative AI solutions.

Key Responsibilities

• LLM Implementation: Work with frameworks like LangChain, LlamaIndex, or AutoGPT to build AI agents.
• RAG Pipelines: Develop Retrieval-Augmented Generation (RAG) systems using Vector Databases (Pinecone, ChromaDB, or Weaviate).
• Prompt Engineering: Design and optimize prompts to improve model accuracy and reduce "hallucinations."
• API Integration: Integrate LLMs (OpenAI, Anthropic, or Open Source models via HuggingFace) into our core software products.
• Testing & Evaluation: Use frameworks to evaluate the performance and safety of AI outputs.

Required Skills

• Advanced Python: Strong coding skills in Python (Data structures, AsyncIO, and Classes).
• AI Knowledge: Understanding of Transformers, Embeddings, and Tokenization.
• APIs: Experience working with RESTful APIs and JSON data.
• Problem Solver: Ability to research the latest AI research papers and implement them practically.