Fullstack AI Engineer

• 5+ years experience\r\n
• Full Stack experience - Preferred stack - React, NodeJS, Typescript, SQL/NOSQL, Python OR any other full stack experience\r\n
• Python is a must\r\n
• Strong Software engineering fundamentals - OOPS concepts, Lazy loading, asynchronous programming\r\n
• Exposure to ML services is a Plus\r\n
• Experience building with Agents or AI Applications including RAG, Vector Storage, LLM FineTuning, Multi-Agent Frameworks (LangGraph, etc)\r\n
• Experience building production level AI Features and going through QA, Deployment, Security for those features\r\n
• Experience Scaling from AI Ideas to full Production Applications from scratch\r\n

Our client is accelerating their AI initiatives and growing their team to lead cutting-edge innovation.\n\nThey are looking for a passionate Senior Fullstack AI Engineer to help build advanced AI solutions.\n\nThis is a chance to be part of a forward-thinking, AI-driven organization. \r\n

Roles & Responsibilities: \r\n \r\n

• Design and develop scalable, modular microservices using Python, GenAI, and AWS Lambda.\r\n
• Build orchestrators and services following clean architecture, SRP, and minimal coupling principles.\r\n
• Implement Test-Driven Development (TDD) with thorough unit tests and reliable mocking of dependencies.\r\n
• Set up and maintain logging and monitoring for service behavior, performance, and inputs/outputs.\r\n
• Work within a well-documented modular architecture, ensuring consistency across the codebase.\r\n
• Collaborate closely with frontend engineers, data scientists, DevOps teams, and product stakeholders.\r\n
• Take ownership of your development areas, delivering high-quality work with pride and accountability.\r\n
• Communicate proactively, address blockers, support teammates, and embrace a "can-do" mindset.\r\n
• Present work clearly and participate constructively in giving and receiving feedback to drive continuous improvement.\r\n

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