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

Required Skills

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.

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