Technical Lead AI Platform

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.Strong 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.Strong 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.