AI Developer

Job description

*JD#1* **Enterprise AI Developer** **Mandatory Skills** Artificial Intelligence,Python,Chatbot,AWS,Model Context Protocol (MCP),Agentic Ai **Job Description** **Core Engineering Background** 5 years of experience in enterprise software development, backend engineering, or systems integration, with a heavy emphasis on Python, node.js, or cloud-native microservices. **Generative AI Core Competency** Deep, practical experience building applications with Large Language Models (LLMs), designing **Retrieval-Augmented Generation (RAG)** pipelines, and working with vector databases (e.g., pgvector, Pinecone, or custom S3-backed vector files). **Integration Expertise** Demonstrated mastery in API development (REST, gRPC) and connecting conversational layers to complex backend transaction systems (specifically SAP via web services and enterprise ticketing tools like JIRA/BMC Helix). **Protocol \& Systems Familiarity** Exposure to modern AI agent communication frameworks, multi-agent swarms, or open standards like the **Model Context Protocol (MCP)** . **Security Awareness** Solid understanding of the OWASP Top 10 for LLMs and standard data-masking/encryption approaches. **Education Qualificaiton** B-Tech or Equivalent Engineering Degree **Roles \& Responsibilities** * Hands-On Development \& Core Architecture (Catalyst Domain) Production-Grade AI Engineering Design, build, and deploy end-to-end Generative AI use cases from initial proof-of-concept (POC) to robust production environments, focusing on Level 1 (L1) support automation and Level 0 (L0) self-healing infrastructure. **Performance Optimization** Implement engineering strategies directly targeted at minimizing Mean Time to Resolution (MTTR), maximizing autonomous ticket deflection, and driving project-level operational efficiencies. **Proactive Prototyping** Bring innovative technical solutions and technical design patterns to the table, identifying high-volume, repetitive IT tasks ripe for agentic automation.