Member of Technical Staff

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 or end users.

• Strong computer science fundamentals, research experience, or experience at a fast-growing startup are beneficial.

Compensation & Benefits

Base salary is $160,000 to $220,000 annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.