Technical Lead AI Platform (Mumbai)

Technical Lead AI Platform Job Type: Full-time | Permanent About the Role A fast-growing US-based deep-tech AI company is seeking an experienced Technical Lead to drive the architecture, development, and delivery of next-generation AI-powered products. The organization specializes in conversational AI, multilingual voice technologies, real-time speech processing, and agentic AI solutions. The ideal candidate will provide technical leadership, guide cross-functional teams, and ensure the successful delivery of scalable, secure, and high-performance AI applications. Key Responsibilities - Lead the end-to-end technical execution of AI product development, ensuring alignment with business objectives and delivery timelines. - Manage project scope, technical decisions, resource planning, risks, and delivery milestones. - Provide technical leadership across technologies including Angular, Python, PostgreSQL, Large Language Models (LLMs), LangChain, LangGraph, CrewAI, and Agentic AI. - Review and guide cloud architecture, infrastructure, deployment strategies, and system integrations using AWS, Docker, and Kubernetes. - Collaborate with Product, Engineering, AI/ML, UI/UX, QA, and DevOps teams to deliver high-quality solutions. - Ensure applications are scalable, secure, reliable, and optimized for performance. - Drive architecture reviews, code quality, technical best practices, and engineering standards. - Mentor developers and foster a culture of innovation, collaboration, and continuous improvement. - Ensure rapid and reliable feature releases while maintaining product quality and system stability. Experience 812 years of experience in software development, with at least 24 years in a Technical Lead or Engineering Lead role, preferably delivering AI, SaaS, cloud-native, or enterprise applications. Preferred Qualifications - Experience building AI-powered, conversational AI, or voice-enabled platforms. - Solid understanding of distributed systems, cloud-native architecture, and scalable application design. - Experience working with modern AI frameworks and deploying LLM-based applications. - Excellent problem-solving, leadership, mentoring, and communication skills. - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Technical Lead AI Platform Job Type: Full-time | Permanent About the Role A fast-growing US-based deep-tech AI company is seeking an experienced Technical Lead to drive the architecture, development, and delivery of next-generation AI-powered products. The organization specializes in conversational AI, multilingual voice technologies, real-time speech processing, and agentic AI solutions. The ideal candidate will provide technical leadership, guide cross-functional teams, and ensure the successful delivery of scalable, secure, and high-performance AI applications. Key Responsibilities - Lead the end-to-end technical execution of AI product development, ensuring alignment with business objectives and delivery timelines. - Manage project scope, technical decisions, resource planning, risks, and delivery milestones. - Provide technical leadership across technologies including Angular, Python, PostgreSQL, Large Language Models (LLMs), LangChain, LangGraph, CrewAI, and Agentic AI. - Review and guide cloud architecture, infrastructure, deployment strategies, and system integrations using AWS, Docker, and Kubernetes. - Collaborate with Product, Engineering, AI/ML, UI/UX, QA, and DevOps teams to deliver high-quality solutions. - Ensure applications are scalable, secure, reliable, and optimized for performance. - Drive architecture reviews, code quality, technical best practices, and engineering standards. - Mentor developers and foster a culture of innovation, collaboration, and continuous improvement. - Ensure rapid and reliable feature releases while maintaining product quality and system stability. Experience 812 years of experience in software development, with at least 24 years in a Technical Lead or Engineering Lead role, preferably delivering AI, SaaS, cloud-native, or enterprise applications. Preferred Qualifications - Experience building AI-powered, conversational AI, or voice-enabled platforms. - Solid understanding of distributed systems, cloud-native architecture, and scalable application design. - Experience working with modern AI frameworks and deploying LLM-based applications. - Excellent problem-solving, leadership, mentoring, and communication skills. - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.