Role : Senior AI Developer - Agentic AI / Conversational AI.Experience : 6 - 9 years overall, with relevant hands-on experience in developing AI/LLM-based applications.Work Timing : 1:30 - 10:30 PM IST.Location : Remote.Role Overview :We are looking for a hands-on Senior AI Developer to design, develop, and implement scalable, production-ready Conversational AI and Agentic AI solutions. The role involves building AI agents, orchestrating LLM-driven workflows, integrating enterprise systems, and implementing observability, security, and reliability practices. The candidate should be comfortable contributing to solution architecture while taking ownership of development and technical implementation.Key Responsibilities :- Design and develop Conversational AI and Agentic AI applications using LLMs and orchestration frameworks.- Build and maintain AI agents, workflows, intent routing, state management, tool calling, and fallback mechanisms.- Develop backend services and APIs to integrate AI capabilities with enterprise systems.- Implement agent orchestration using LangGraph, LangChain, or similar frameworks.- Develop and integrate tools using REST APIs, function calling, MCP, or structured contracts.- Implement Retrieval-Augmented Generation (RAG) and knowledge retrieval capabilities where applicable.- Implement LLM observability covering tracing, latency, token usage, cost, errors, and response quality.- Develop evaluation and testing mechanisms to improve AI accuracy, reliability, and consistency.- Ensure security, privacy, auditability, and responsible AI practices.- Collaborate with architecture, frontend, backend, cloud, SRE, QA, and product teams.- Participate in technical design discussions, code reviews, troubleshooting,



and production support.Required Skills :- Solid hands-on programming experience in Python, including backend/API development using FastAPI or similar frameworks.- Hands-on experience developing LLM-based or Conversational AI applications.- Practical experience with LangGraph, LangChain, or equivalent agent orchestration frameworks.- Good understanding of Agentic AI concepts, including state management, intent routing, tool calling, workflow orchestration, and error handling.- Experience with Azure OpenAI, Azure AI Foundry (Microsoft Foundry), or equivalent cloud-hosted LLM platforms.- Experience integrating LLM applications with REST APIs, backend services, databases, and enterprise applications.- Understanding of prompt engineering, function calling, structured outputs, and LLM response handling.- Experience implementing or working with LLM observability, monitoring, logging, and tracing.- Understanding of RAG, embeddings, vector search, and knowledge retrieval patterns.- Familiarity with authentication, authorization, security, and data privacy in AI applications.- Strong debugging, problem-solving, and communication skills.Nice to Have :- Experience implementing MCP servers/clients or MCP-based integrations.- Experience with Azure AI Search and vector databases.- Experience with LangSmith, Langfuse, OpenTelemetry, Azure Monitor, or Application Insights.- Experience with LLM evaluation frameworks and automated quality testing.- Experience deploying AI applications on Azure using Docker, containers, or managed cloud services.- Exposure to CI/CD, GitHub Actions, and production release processes.- Experience in CRM, contact centers, customer-facing applications, or enterprise portals.- Experience in deterministic or controlled AI workflows requiring predictable business outcomes. (ref:hirist.tech)

📌 Ekfrazo Technologies - Senior AI Developer - Agentic/Conversational AI (Bengaluru)
🏢 Ekfrazo Technologies Private
📍 Bengaluru