AI Engineer – Generative AI / LLMs / RAG

Job description

We are looking for an AI Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. You will design, build, and deploy intelligent applications such as chatbots, copilots, and AI-powered automation tools. This role combines software engineering, machine learning, and prompt/context engineering to deliver scalable, production-ready AI systems. Key Responsibilities: Design and implement AI-powered applications using LLMs (OpenAI, Anthropic, open-source models, etc.) Build and optimize RAG pipelines (vector databases, embeddings, retrieval strategies) Develop chatbots and conversational AI systems with strong context management Implement prompt engineering and context engineering strategies for reliable outputs Integrate LLMs into backend systems via APIs and microservices Work with vector databases (Pinecone, Weaviate, FAISS, etc.) Optimize performance, latency, and cost of AI systems Evaluate model outputs and implement guardrails (safety, hallucination reduction) Collaborate with product and engineering teams to define AI features Deploy and monitor AI services in cloud environments (AWS, Azure, GCP) Required...