Staff ai engineer – real-time call intelligence

About Aonxi Aonxi 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’re combining: AI-powered call intelligence (like Fathom/Fireflies) Private LLMs per business And a credit engine that gives businesses capital based on their actual sales conversion rate Our vision? Let every SMB in the world grow like Amazon - on automation and cash flow, not guesses. What You’ll Build We’re looking for a Founding Engineer or Applied AI Architect to lead the development of: Aonxi AI Notetaker: Think Fathom, Fireflies, Otter - but custom-built, embedded into both Vo IP (Zoom, Meet, Ring Central) and mobile/telephony calls (Twilio + device-level capture). Cross-platform Call Capture SDKs (web, mobile, Vo IP, Ring Central, Twilio) Real-time ASR + Speaker Diarization (AWS Transcribe, Deepgram, Whisper, custom STT) Private LLM Agent Deployment (1 per business, Pinecone / RAG / fine-tuned GPTs) Signal-to-Action Loop: Every call transcript feeds into content, ads, CRM triggers, and credit scoring. Your Tech Toolbox (You’ve used some or most of these) Real-Time Audio Processing: Web RTC, Twilio, Agora, Deepgram, Vonage ASR & Transcription Engines: Open AI Whisper, AWS Transcribe, Assembly AI Language Models: Open AI, Claude, Mistral, LLa MA2, Lo RA fine-tuning Vector DBs & RAG: Pinecone, Weaviate, Chroma DB Backend Systems: Python, Fast API, Kafka, Redis, Postgre SQL, S3 Infra: AWS, GCP, Docker, Terraform, Lambda, K8s Secure mobile call ingestion (Android/i OS native or Vo IP SDKs) Data Privacy + Encryption (HIPAA, SOC2, TLS, end-to-end encryption) What You’ve Done Shipped an AI voice product (e.g., notetaker, bot, voice agent, etc.) Built real-time transcription systems for Zoom, Meet, or phone calls Architected private AI agents or models trained on domain-specific data Worked in small founding teams or have the grit to work cross-stack Bonus: You’ve dealt with mobile OS limitations for live call recording on Android/i OS Why Join Now Be the founding brain behind a real-time agent that gets used in thousands of business calls every day Your code doesn’t just transcribe - it funds the user’s business (credit limits increase with conversion) Work directly with the CEO, Head of AI, and product team to shape the future of how AI listens, learns, and grows businesses Massive equity and career upside (we’re employee-owned, and already closing 8+ lead contracts weekly) Your Mission (90 Days) Ship the MVP of the Aonxi Notetaker that: Joins Zoom / Meet / Ring Central calls automatically Captures mobile calls (device or cloud-based) with transcription Pushes transcripts into the private AI Brain for indexing Build the transcription → scoring → content → credit pipeline Start capturing 1,000+ hours of calls/month by Month 3 Help us scale to 100,000+ transcribed leads powering millions in credit flow Title Options You’ll can choose from: Founding Staff AI Engineer - Call Intelligence & Revenue Systems Applied AI Architect - Voice & LLM Infrastructure AI Pod Lead - Real-Time Transcription & LLM Agents Tech Lead - Embedded AI Revenue Agents Compensation Base: Survival-Level Equity: Founding-level Bonus: Performance-based revenue share (per transcription milestone) Remote first, async culture, with offsites in India & U. S. Apply Now Please send your Git Hub, any past AI voice demos, or a Loom walkthrough of projects you’ve built using audio, AI, or LLMs. We value makers not just resumes. A Loom video is required as your first interview step. In the video, walk me through your approach to the job description above and explain how you’ll execute it. I’ll meet with the candidates who present the most convincing and results-focused solutions. Sam Anmol Chief Architect, Aonxi, Inc. Your position will report to me.