Generative AI Engineer - Python

Job Summary:

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs). The ideal candidate should have experience with prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and modern GenAI frameworks.

Key Responsibilities:

• Design and develop Generative AI applications using LLMs.
• Build AI chatbots, virtual assistants, and AI automation solutions.
• Develop RAG pipelines using vector databases.
• Create and optimize prompts for LLMs.
• Fine-tune and evaluate open-source and commercial language models.
• Integrate OpenAI, Anthropic, Gemini, or Hugging Face models into applications.
• Build AI agents using LangChain, LangGraph, CrewAI, or AutoGen.
• Develop REST APIs and deploy AI models to production.
• Monitor model performance, latency, and cost optimization.
• Collaborate with product, engineering, and data science teams.

Required Skills:

• Strong proficiency in Python.
• Experience with OpenAI API, Azure OpenAI, Gemini API, Claude API, or Hugging Face.
• Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Knowledge of Prompt Engineering and RAG (Retrieval-Augmented Generation).
• Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, FAISS, or Milvus.
• Knowledge of Embeddings and semantic search.
• Experience with FastAPI, Flask, or REST APIs.
• Familiarity with Docker, Git, and cloud platforms (AWS, Azure, or GCP).
• Understanding of AI ethics, hallucination mitigation, and model evaluation.

Preferred Skills:

• Experience with AI Agents (CrewAI, AutoGen, LangGraph).
• Fine-tuning open-source LLMs (Llama, Mistral, Gemma, Qwen, etc.).
• Knowledge of MLOps and CI/CD pipelines.
• Experience with SQL, NoSQL databases, and cloud deployment.
• Familiarity with multimodal AI (text, image, audio).