Generative AI Engineer

About the Role:- We are seeking a Generative AI Engineer with 2+ years of experience to build and scale production-ready Agentic Systems using Large Language Models (LLMs). You will work on RAG pipelines, agent workflows, evaluation, and deployment of reliable AI systems. Key Responsibilities:- -Build retrieval-augmented generation (RAG) pipelines with embeddings, hybrid search, and reranking -Implement agent orchestration, tool/function calling, and prompt management -Develop evaluation, monitoring, and observability for LLM systems -Ensure AI safety, governance, and data privacy best practices -Optimize performance using caching, batching, and streaming -Package solutions as APIs/SDKs and deploy using cloud-native tools Tech Stack:- -Languages: Python (primary), TypeScript -Frameworks: FastAPI/Flask, LangChain/LlamaIndex -LLMs: OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock -Infra: Docker, CI/CD, Terraform/CDK -Cloud: AWS / Azure / GCP (any one) Requirements:- -2+ years of software or AI engineering experience -Strong Python and backend development skills -Hands-on experience with LLMs and cloud deployments -Understanding of scalable systems and data security What We Offer:- -Work on cutting-edge Generative AI products -High ownership and learning opportunities -Competitive compensation and growth