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About the role
As an Automation Engineer specializing in Python and Agentic AI, your role will involve developing automation solutions, creating AI-powered agents, integrating enterprise applications, and establishing scalable automation frameworks to enhance business efficiency. Key Responsibilities: - Automation Development: - Design, develop, and maintain automation solutions using Python and related technologies. - Build production-ready scripts, APIs, scheduled jobs, and workflow automations. - Develop reusable automation frameworks and libraries. - Implement logging, monitoring, error handling, and alert mechanisms. - Manage automation projects from requirement gathering to deployment and optimization. - Agentic AI Development: - Design and develop AI agents capable of autonomous reasoning and multi-step task execution. - Build AI copilots using LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), and agent orchestration frameworks. - Implement memory, tool-calling, and feedback mechanisms for intelligent agents. - Monitor and optimize AI agent performance for accuracy, reliability, latency, and cost. - Integration & Data Engineering: - Develop integrations with enterprise applications using REST APIs and webhooks. - Build ETL pipelines and automation workflows. - Develop SQL queries and data pipelines to support automation solutions. - Ensure automation solutions adhere to security, governance, and data quality standards. - Collaboration: - Identify automation opportunities in collaboration with business and technical teams. - Prepare technical documentation and support user adoption. - Stay informed about the latest AI and automation technologies. - Effectively communicate project progress, risks, and deliverables. Qualification Required: - 46 years of experience in Python development. - Strong experience in automation, scripting, or backend development. - Hands-on experience with Agentic AI frameworks such as LangChain, CrewAI, AutoGen, Semantic Kernel, Microsoft Copilot Studio, N8N. - Proficiency in Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agent Development. - Experience with REST APIs, Webhooks, Event-driven Architecture, SQL, Git, testing methodologies, and CI/CD. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management skills. The company prefers immediate joiners and candidates with experience integrating ERP, CRM, eCommerce, or other enterprise platforms. If you possess a strong understanding of automation frameworks, enterprise integrations, and can translate business requirements into scalable technical solutions, along with self-motivation and excellent collaboration skills, your application is highly encouraged. Share your resume with job@prognova.co for consideration. As an Automation Engineer specializing in Python and Agentic AI, your role will involve developing automation solutions, creating AI-powered agents, integrating enterprise applications, and establishing scalable automation frameworks to enhance business efficiency. Key Responsibilities: - Automation Development: - Design, develop, and maintain automation solutions using Python and related technologies. - Build production-ready scripts, APIs, scheduled jobs, and workflow automations. - Develop reusable automation frameworks and libraries. - Implement logging, monitoring, error handling, and alert mechanisms. - Manage automation projects from requirement gathering to deployment and optimization. - Agentic AI Development: - Design and develop AI agents capable of autonomous reasoning and multi-step task execution. - Build AI copilots using LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), and agent orchestration frameworks. - Implement memory, tool-calling, and feedback mechanisms for intelligent agents. - Monitor and optimize AI agent performance for accuracy, reliability, latency, and cost. - Integration & Data Engineering: - Develop integrations with enterprise applications using REST APIs and webhooks. - Build ETL pipelines and automation workflows. - Develop SQL queries and data pipelines to support automation solutions. - Ensure automation solutions adhere to security, governance, and data quality standards. - Collaboration: - Identify automation opportunities in collaboration with business and technical teams. - Prepare technical documentation and support user adoption. - Stay informed about the latest AI and automation technologies. - Effectively communicate project progress, risks, and deliverables. Qualification Required: - 46 years of experience in Python development. - Strong experience in automation, scripting, or backend development. - Hands-on experience with Agentic AI frameworks such as LangChain, CrewAI, AutoGen, Semantic Kernel, Microsoft Copilot Studio, N8N. - Proficiency in Lar
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