Python Backend Developer

Hiring: Python Backend Developer (AI & Agentic AI)📍 Location: India 💼 Experience: 3–5 Years 🕒 Employment Type: Full-TimeWe are looking for a highly skilled Python Backend Developer with strong experience in backend development, cloud-native applications, Generative AI, and Agentic AI frameworks. This role involves building scalable backend services, intelligent automation solutions, and AI-powered enterprise applications.Key ResponsibilitiesDesign, develop, and maintain scalable backend services using Python.Build RESTful APIs and microservices-based applications.Develop event-driven and asynchronous systems for high-throughput workloads.Design and optimize SQL and NoSQL database solutions.Integrate Large Language Models (LLMs) into enterprise applications.Build Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.Develop Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.Design multi-agent workflows involving planning, tool execution, memory management, and automation.Deploy cloud-native applications on Azure, AWS, or GCP.Containerize and deploy applications using Docker and CI/CD pipelines.Collaborate with cross-functional teams to deliver scalable and reliable solutions.Required SkillsBackend DevelopmentPythonFastAPIDjangoREST API DevelopmentMicroservices ArchitectureAsynchronous ProgrammingEvent-Driven SystemsDatabasesMongoDBPostgreSQL / MySQLCosmos DBDatabase Design & OptimizationCloud & DevOpsAzure / AWS / GCPDockerCI/CD PipelinesGit & GitHubSecurity & IntegrationOAuth2JWT AuthenticationAuth0Third-Party API IntegrationsGenerative AI & LLMsOpenAI, Anthropic, Gemini, Azure OpenAIPrompt EngineeringEmbeddingsSemantic SearchVector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search)RAG ApplicationsMandatory Agentic AI ExperienceLangChainLangGraphCrewAIAutoGenMulti-Agent ArchitecturesAgent OrchestrationTool CallingMemory ManagementWorkflow AutomationPreferred QualificationsExperience building AI-powered enterprise applications.Knowledge of MCP (Model Context Protocol).Experience with intelligent automation and workflow orchestration.Exposure to healthcare, fintech, SaaS, or enterprise platforms.Understanding of observability, monitoring, and distributed systems.Kubernetes exposure is a plus.