Gen AI Engineer

Key Responsibilities • Design and build LLM-powered applications using proprietary and open-source models. • Implement prompt engineering, Retrieval-Augmented Generation (RAG), tool/function calling, and agent workflows. • Deploy LLM solutions into cloud and enterprise environments with scalability and reliability. • Build inference APIs, microservices, and CI/CD pipelines for AI applications. • Monitor model quality, latency, cost, drift, and hallucinations in production. • Fine-tune and enhance models using parameter-efficient techniques where required. • Optimize inference performance using caching, batching, quantization, and prompt optimization. • Ensure security, privacy, and responsible AI guardrails in all deployments. • Collaborate with product, platform, and engineering teams to deliver enterprise AI solutions. Required Skills & Experience • Strong programming skills in Python; experience with backend APIs. • Hands-on experience with LLM frameworks (LangChain, LlamaIndex, or equivalent). • Experience building RAG pipelines using vector databases. • Knowledge of Docker, Kubernetes, cloud platforms, and CI/CD pipelines. • Familiarity with LLMOps / MLOps tools and monitoring systems.