Responsibilities Collaborate with business stakeholders to gather, analyze, and refine technical and AI-related requirements. Design, develop, and maintain scalable applications, microservices, and APIs. Develop and integrate LLM-powered features (e.g., copilots, chatbots, decision-support tools). Build backend services using Java, Python, Node.js, and modern frameworks (FastAPI, Spring Boot). Perform prompt engineering, context engineering, and RAG (retrieval-augmented generation). Build and orchestrate AI agents, Agent Harness and multi-agent workflows. Apply OOP, OOAD principles, and design patterns to deliver robust systems. Integrate LLM APIs and manage vector databases and embeddings for semantic search. Develop AI evaluation, testing harnesses, and guardrails to ensure performance and reliability. Design and optimize SQL databases and work with ORM tools (Hibernate/JPA). Contribute to full-stack development, including basic UI/UX using JavaScript/TypeScript. Manage end-to-end SD...