Generative AI Engineer / Gen AI Developer

Exp: 5 to 9 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.

Skills Required

- Generative AI
- Prompt Engineering
- LLMs (GPT, Llama, Claude, Gemini)
- RAG Architecture
- Vector Databases (FAISS, Pinecone, ChromaDB, Milvus)
- LangChain / LlamaIndex
- FastAPI / Flask
- REST APIs

📌 Gen AI (Hyderabad)
🏢 Infosys
📍 Hyderabad