Conversational AI Solutions Architect
2 days ago
About AonxiAonxi is building the world's first conversion-backed, credit-embedded revenue operating system where every call, meeting, and conversation gets transcribed, scored, and turned into sales performance intelligence.We combine:• AI-powered call intelligence• Private LLMs per business• And a credit engine that gives businesses capital based on their actual sales conversion rateWe aim to let every SMB grow like Amazon on automation and cash flow, not guesses.Our VisionLet technology take over manual processes, so businesses can thrive.This vision is our guiding principle as we strive to revolutionize the way businesses interact with customers.Your Mission (90 Days)Here are the objectives for your first 90 days:Develop the MVP of the Aonxi Notetaker, an embedded AI voice product for VoIP and mobile calls. This tool will join Zoom / Meet / RingCentral calls automatically, capture mobile calls, push transcripts into the private AI Brain for indexing, and build the transcription → scoring → content → credit pipeline.Capture 1,000+ hours of calls/month by Month 3 and help us scale to 100,000+ transcribed leads powering millions in credit flow.You will be working directly with our CEO, Head of AI, and product team to shape the future of how AI listens, learns, and grows businesses.We reward innovation and results-driven solutions.Your Job OptionsYou can choose from these exciting roles:Founding Staff AI Engineer - Call Intelligence & Revenue SystemsApplied AI Architect - Voice & LLM InfrastructureAI Pod Lead - Real-Time Transcription & LLM AgentsTech Lead - Embedded AI Revenue AgentsWe are remote-first and offer an async culture, allowing you to work from anywhere and have offsites in India and the US.We prioritize personal growth and career development.Sending a GitHub link or past AI voice demos will give us a good idea of your skills and experience.We value innovative problem-solvers and welcome applications from individuals who share our passion for AI and technology.Please note that we require a Loom walkthrough as part of our interview process, demonstrating your approach to the job description.The candidate who presents the most convincing and results-focused solution will move forward in the next stage of our recruitment process.
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