Mid-Level AI Engineer (Hyderabad)

• 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 lifecyclefrom 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.