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).