Fullstack Ai Hyderabad

Role & responsibilities Enterprise AI Solutions Experience: 7+ years overall software development | Focus: Implementation, integration & productionization Job Summary We are seeking an experienced AI Application Developer to build and deliver enterprise-grade AI solutions. The ideal candidate combines robust software engineering fundamentals with hands-on experience developing production-ready applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and up-to-date AI integration frameworks. This role centers on implementation, integration, optimization, and productionization of AI-powered solutions rather than AI research or model training. Responsibilities Design and develop scalable backend services and REST/GraphQL APIs Implement AI-powered features using LLMs and generative AI technologies Build, maintain, and optimize RAG pipelines, including vector database integration and retrieval strategies Develop AI agents and tool integrations, including MCP-based workflows Apply prompt engineering and prompt management practices across AI features Optimize AI application performance, latency, and token/cost consumption Implement AI security controls, guardrails, and governance requirements Monitor, troubleshoot, and continuously improve production AI systems Collaborate with architects and product teams to deliver enterprise AI solutions Required Skills Software Engineering Python Microservices architecture REST & GraphQL APIs Authentication & authorization Caching strategies Cloud-native development AI Engineering LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI) RAG architectures & vector databases Agent frameworks and MCP concepts & integrations Prompt engineering & prompt management Context engineering and AI workflow orchestration Production Readiness Cost and latency optimization AI observability Security and compliance Production deployment experience Nice to Ha .