Senior GenAI Engineer (Agentic AI + Full Stack) | Experience 6+ Years

Position: Senior GenAI Engineer (Agentic AI + Full Stack) Experience: 6+ Years Location: Bangalore Work Mode: On-site / Hybrid Employment Type: Contract About the Role We are looking for a highly skilled Senior GenAI Engineer with strong experience in building production-grade Generative AI applications and modern full-stack systems. The ideal candidate will have hands-on expertise in LLMs, Agentic AI, AI Agents, RAG architectures, Model Context Protocol (MCP), and AI workflow automation, along with solid software engineering fundamentals. You will be responsible for designing, developing, and deploying scalable AI-powered applications while collaborating with cross-functional teams to deliver innovative business solutions. Key Responsibilities Design, develop, and deploy production-ready Generative AI applications.Build intelligent AI agents using Agentic AI frameworks and orchestration techniques.Develop Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.Implement Model Context Protocol (MCP) for scalable AI integrations.Integrate Large Language Models (LLMs) into business applications.Develop backend APIs and full-stack applications supporting AI workflows.Utilize AI coding assistants such as Claude Code, Codex, or similar tools to accelerate development.Design scalable software architecture following distributed systems principles.Optimize AI solutions for performance, latency, reliability, and cost.Integrate cloud-native AI services across AWS, Azure, or GCP.Collaborate with product managers, architects, and stakeholders to translate business requirements into AI-driven solutions.Ensure high-quality code through testing, documentation, and code reviews. Required Skills Generative AI Production-grade GenAI application developmentLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI Agents & Agentic AIPrompt EngineeringModel Context Protocol (MCP)Workflow automation frameworksAI Development Tools Claude CodeCodexCursorGitHub CopilotSimilar AI-assisted development platformsSoftware Development Full Stack DevelopmentREST APIsMicroservices ArchitectureDistributed SystemsSoftware Architecture & Design PatternsCloud Platforms AWSMicrosoft AzureGoogle Cloud Platform (GCP)Additional Skills Business-focused solution designCost optimizationPerformance optimizationAgile/Scrum methodologiesGit & CI/CD Mandatory Requirements 6+ years of professional software engineering experience.Proven experience delivering production-ready Generative AI solutions.Hands-on expertise with LLMs, RAG, AI Agents, and Agentic AI.Experience implementing Model Context Protocol (MCP).Strong knowledge of workflow automation frameworks.Experience using Claude Code, Codex, or similar AI coding assistants.Strong Full Stack development experience.Hands-on experience developing REST APIs.Experience with AWS, Azure, or GCP.Excellent understanding of distributed systems and scalable software architecture.Strong communication and problem-solving skills. Preferred Qualifications Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.Knowledge of vector databases such as Pinecone, Weaviate, Milvus, PGVector, or ChromaDB.Experience deploying AI applications using Docker and Kubernetes.Familiarity with MLOps and LLMOps practices.Experience monitoring and evaluating LLM performance in production.Understanding of AI security, governance, and responsible AI practices. .