Generative AI Engineer

Job Summary: We are seeking a talented Generative AI Engineer to design, develop, and deploy cutting-edge generative AI solutions. You will work on Large Language Models (LLMs), prompt engineering, and AI-powered applications to drive innovation and business value. Key Responsibilities: Design and develop generative AI applications using LLMs (GPT, Claude, Gemini, LLaMA) Implement RAG (Retrieval-Augmented Generation) pipelines for knowledge-based AI systems Fine-tune and optimize LLMs for specific use cases and domains Build prompt engineering frameworks and templates for consistent AI outputs Integrate AI models with APIs, databases, and enterprise applications Develop vector databases and embedding strategies for semantic search Implement guardrails, security measures, and bias mitigation techniques Monitor model performance, latency, and cost optimization Collaborate with data scientists, ML engineers, and product teams Stay updated on latest Gen AI research, models, and best practices

Strong programming skills in Python Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini) Knowledge of prompt engineering and chain-of-thought reasoning Familiarity with LangChain, LlamaIndex, or similar frameworks Understanding of RAG architecture and vector databases (Pinecone, Weaviate, ChromaDB) Experience with embeddings and semantic search Knowledge of transformer architecture and attention mechanisms REST API development and integration Git version control Preferred Skills: Experience with fine-tuning LLMs (LoRA, QLoRA) Knowledge of AI safety, alignment, and responsible AI practices Cloud platforms (AWS, Azure, Google Cloud Platform) for AI deployment Docker and Kubernetes for containerization MLOps and CI/CD pipelines Experience with agent frameworks (AutoGPT, LangGraph) Education: Bachelor''s or Master''s in Computer Science, AI/ML, or related field.