Job highlights

- 2-5 years experience in Generative AI development with expertise in LLMs, prompt engineering, and Python frameworks like FastAPI or Flask
- Develop and deploy Gen AI applications, build AI chatbots and automation, implement RAG solutions, fine-tune models, and collaborate with stakeholders

Gen AI Developer Exp: 2 to 5 Years Experience

Roles & Responsibilities

- Develop and deploy Generative AI applications using Large Language Models (LLMs).
- Build AI-powered chatbots, virtual assistants, and automation solutions.
- Design and optimize prompts for better model performance (Prompt Engineering).
- Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
- Integrate OpenAI, Azure OpenAI, Gemini, Claude,



or open-source LLMs into applications.
- Develop APIs and backend services using Python frameworks like FastAPI or Flask.
- Fine-tune and evaluate machine learning and language models.
- Work with embeddings, semantic search, and document processing pipelines.
- Build end-to-end AI workflows using LangChain, LlamaIndex, CrewAI, or AutoGen.
- Collaborate with business stakeholders to identify Gen AI use cases.
- Monitor model performance, cost optimization, and AI governance.
- Ensure responsible AI practices, security, and data privacy compliance.

📌 Gen AI (Chennai)
🏢 Infosys
📍 Chennai