Member of Technical Staff
Summary
Engineer on a small AI team building simulation, observability, and evaluation systems for voice and multimodal conversational AI agents. Day to day: develop AWS infrastructure (Lambda, EC2, WebSockets, SIP), build data pipelines to surface failure modes, and own projects end to end while working directly with customers. On-site in San Francisco.
About the Role
Join a small AI engineering team building simulation, observability, and evaluation systems for voice and multimodal AI agents. You will develop reliable infrastructure and tools that help make conversational agents safer and more effective in real-world use.
What You'll Do
Design and build systems that simulate, analyze, and evaluate conversational AI agents.
Develop resilient AWS infrastructure using services and technologies such as Lambda, EC2, WebSockets, and SIP.
Create algorithms and data pipelines that surface insights, identify failure modes, and support agent safety and alignment.
Lead technical execution and take end-to-end ownership of projects across the stack.
Work directly with customers to build, sell, and deploy technical products.
What We're Looking For
At least 1 year of relevant experience, with a strong bachelor's degree or experience at a high-growth startup.
Strong skills across databases, AWS, and AI engineering.
Experience leading technical projects end to end and building high-traffic systems at scale.
Research experience or a background developing AI systems is relevant.
Strong communication skills and comfort working directly with customers.
Ability to work on-site in San Francisco five days a week, with a 9 a.m. to 7 p.m. schedule.
Compensation & Benefits
Base salary: $160,000 to $220,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California.
Skills
As published by ashby · 2 questions
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