AI · conversational AI
ABOUT THE ROLE
Join a small AI team building systems to simulate, analyze, and evaluate conversational agents across voice and multimodal applications. You will own technical work end to end and help make real-time AI systems safer, more reliable, and better aligned with human intent.
WHAT YOU'LL DO
- Architect and develop simulation, analysis, and evaluation systems for voice and multimodal conversational AI.
- Build resilient AWS infrastructure using services and protocols such as Lambda, EC2, WebSockets, and SIP to support real-time workloads.
- Develop algorithms and pipelines that surface insights, identify failure modes, and help monitor agent safety and reliability.
- Own project execution across backend, AI, voice, and observability systems, from architecture through delivery.
- Work on-site with customers to build, deploy, and support solutions.
WHAT WE'RE LOOKING FOR
- At least one year of experience in a technical role building or delivering software systems.
- Full-stack proficiency, including databases, AWS infrastructure, and AI engineering.
- Experience with Python, FastAPI, Supabase, Redis, AWS, and WebSockets.
- Experience with voice AI tools such as LiveKit, Deepgram, or similar platforms, as well as machine learning or LLMs.
- Experience building analysis, evaluation, or monitoring pipelines for AI systems or conversational agents.
- A track record designing resilient real-time systems, handling high concurrency, or building high-traffic features.
- Ability to own technical execution end to end and work directly with customers