AI Engineer - Python

: - Design, develop, and deploy production-grade AI applications using Python and modern AI engineering frameworks. - Build Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources. - Develop AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, n8n, OpenAI Agents SDK, or similar orchestration frameworks. - Integrate AI solutions with enterprise applications, cloud services, APIs, databases, and internal business systems. - Collaborate with business stakeholders, product teams, and engineering teams to translate business requirements into AI-powered solutions. - Build secure, scalable, and reliable AI applications on AWS cloud infrastructure. - Optimize LLM performance, prompt engineering, retrieval quality, latency, scalability, and operational cost. - Develop reusable AI components, frameworks, templates, and engineering best practices for the ERPAI AI platform. - Own AI initiatives throughout the complete software lifecycle from ideation and prototyping through production deployment and ongoing improvements. Required Skills & Experience : - 5 - 12 years of professional experience in Software Engineering, Machine Learning Engineering, or AI Engineering. - Strong software engineering experience with Python. - Hands-on experience building applications using Large Language Models (LLMs). - Practical experience designing and implementing Retrieval-Augmented Generation (RAG) solutions. - Experience working with vector databases and embedding models. - Experience with AI orchestration frameworks such as LangChain, LangGraph, n8n, OpenAI Agents SDK, or similar multi-agent frameworks. - Experience developing cloud-native applications on AWS. - Strong understanding of REST APIs, backend services, databases, data pipelines, and enterprise application integration. - Experience building production-grade AI applications rather than proof-of-concept implementations. - Strong analytical, debugging, and problem-solving skills. - Ability to work independently, take ownership, and deliver high-quality solutions with minimal supervision. - A startup mindset with a strong focus on execution, learning, and continuous improvement.