OnPoint Insights
Website:
onpointinsights.us
Company:
https://www.linkedin.com/company/onpointinsights
Industries: Engineering Services and Design Services
Job details:
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
8–12 years of experience in software development, with at least 2–4 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.
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