Job
Description
Role Overview: As a Lead AI Full Stack Engineer on the AI Foundations team, you will be responsible for architecting and delivering end-to-end AI/ML solutions. Your role involves combining deep full stack engineering expertise with a strong understanding of AI systems to build intuitive user interfaces and scalable backend services. Your work will directly impact strategic business outcomes by translating complex algorithms into user-centric applications. Key Responsibilities: - Lead the full lifecycle of AI-powered applications, including frontend user experience design, backend service development, and integration with AI/ML models. - Develop robust backend services and APIs for managing model training, inference, data pipelines, and agentic workflows. - Design and maintain responsive, user-friendly interfaces for users to interact with AI models and data. - Develop high-performance APIs for internal and external use to ensure seamless integration across systems. - Identify and resolve bottlenecks across the stack, optimize frontend responsiveness, backend efficiency, and model inference latency. - Provide mentorship and guidance to junior engineers, champion best practices in architecture, development, and AI operationalization. - Collaborate with data scientists, AI engineers, product managers, and stakeholders to translate business needs into technical solutions. - Ensure all solutions adhere to organizational security standards, data governance policies, and compliance requirements. Qualifications Required: - Minimum 7+ years of experience in full stack software development, with 3+ years focused on AI/ML-driven applications and agentic system integration. - Proven track record of leading complex technical initiatives and mentoring engineering teams. - Extensive experience with backend development frameworks such as Node.js, Python/Flask/Django, and designing/implementing RESTful APIs. - Strong proficiency in frontend technologies including React, Next.js, TypeScript, JavaScript, HTML, and CSS. - Experience with cloud platforms and relevant services for compute, storage, databases, and networking. - Experience with CI/CD pipelines for automated deployment of full stack applications. - Familiarity with database technologies and understanding of the AI/ML lifecycle. - Excellent interpersonal and stakeholder management skills with the ability to explain technical concepts to diverse audiences. - Ability to lead cross-functional projects and foster a culture of technical excellence. (Note: The additional details about the company were not mentioned in the provided job description.) Role Overview: As a Lead AI Full Stack Engineer on the AI Foundations team, you will be responsible for architecting and delivering end-to-end AI/ML solutions. Your role involves combining deep full stack engineering expertise with a strong understanding of AI systems to build intuitive user interfaces and scalable backend services. Your work will directly impact strategic business outcomes by translating complex algorithms into user-centric applications. Key Responsibilities: - Lead the full lifecycle of AI-powered applications, including frontend user experience design, backend service development, and integration with AI/ML models. - Develop robust backend services and APIs for managing model training, inference, data pipelines, and agentic workflows. - Design and maintain responsive, user-friendly interfaces for users to interact with AI models and data. - Develop high-performance APIs for internal and external use to ensure seamless integration across systems. - Identify and resolve bottlenecks across the stack, optimize frontend responsiveness, backend efficiency, and model inference latency. - Provide mentorship and guidance to junior engineers, champion best practices in architecture, development, and AI operationalization. - Collaborate with data scientists, AI engineers, product managers, and stakeholders to translate business needs into technical solutions. - Ensure all solutions adhere to organizational security standards, data governance policies, and compliance requirements. Qualifications Required: - Minimum 7+ years of experience in full stack software development, with 3+ years focused on AI/ML-driven applications and agentic system integration. - Proven track record of leading complex technical initiatives and mentoring engineering teams. - Extensive experience with backend development frameworks such as Node.js, Python/Flask/Django, and designing/implementing RESTful APIs. - Strong proficiency in frontend technologies including React, Next.js, TypeScript, JavaScript, HTML, and CSS. - Experience with cloud platforms and relevant services for compute, storage, databases, and networking. - Experience with CI/CD pipelines for automated deployment of full stack applications. - Familiarity with database technologies and understanding of the AI/ML lifecycle. - Excellent interpersonal and stakeholder management
