Lead Full Stack AI Engineer

Client : Client Company is into Consulting, providing Global AI Solutions Full Stack AI Engineer Job Location: WFH/Remote / Preference Gurugram Reporting By: Team of Developers Experience: 8+ years, with 8+ years of work experience with JavaScript and 8+ years of work experience with Python (Programming Language) Your Role Play an instrumental and influential role in driving Generative AI vision, strategy, and architecture. Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems. Design and develop backend systems and APIs for AI-driven products and agent frameworks. Integrate LLMs into scalable, production-ready systems. Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms. Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases. Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques. Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications. Contribute to and promote good software engineering practices across the team. Your Expertise Proven experience in leading AI projects from conception to deployment in a consultancy or start-up environment. Professional software engineering experience, ideally working on backend systems, APIs, or AI-related products. Proficiency in Python (Django) and JavaScript/TypeScript (React) . Strong understanding of backend architectures , REST/GraphQL APIs, and data modelling. Experience with containerisation (Docker) and cloud platforms (GCP, Azure, or similar). Exposure to agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.). Practical experience with databases (SQL / NoSQL). Strong foundation in software design principles and system designing. Strong leadership skills with a proven track record of mentoring and developing talent. Excellent communications skills, capable of conveying complex AI concepts to non-technical stakeholders. A strategic thinker with a passion for problem-solving and innovation. SME in statistics, analytics, big data, data science, machine learning, deep learning, cloud, mobile, and full stack technologies. Hands‑on experience analysing large amounts of data to derive actionable insights. #J-18808-Ljbffr