6 часов назад
Applied AI Engineer
180 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Voice AI): Design, build, and deploy production AI voice applications while integrating APIs and SDKs for enterprise customers with an accent on conversational AI, scalable architectures, and production reliability. Focus on debugging telephony and infrastructure issues, improving prompt quality and AI performance, and owning technical implementations from proof of concept through launch.
Location: Redwood City headquarters, California, United States. Requires standard U.S. business hours with overlap with the Pacific Time team and enterprise customers.
Salary: $180,000–$300,000 per year, plus equity.
Company
builds Voice AI infrastructure and AI voice agents for enterprise customer experience, supporting millions of AI-powered phone conversations each month.
What you will do
- Design, build, and deploy production AI voice applications.
- Integrate APIs and SDKs with customer products and develop custom workflows, automations, and conversational AI experiences.
- Architect scalable AI systems and own technical implementations from proof of concept through production launch.
- Debug production issues involving APIs, webhooks, telephony, SIP, authentication, latency, and infrastructure.
- Investigate AI behavior and improve prompt quality, reliability, and performance.
- Lead enterprise technical onboarding, advise customer engineering teams, and turn recurring customer feedback into platform improvements.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- At least 2 years of software engineering or customer-facing technical experience building and deploying production applications.
- Strong programming skills in Python, TypeScript, or similar languages.
- Experience with APIs, SDKs, distributed systems, debugging, and technical problem-solving.
- Strong communication skills and ability to work directly with technical customers.
- Availability for standard U.S. business hours with Pacific Time overlap.
Nice to have
- Experience building AI or LLM-powered applications, Voice AI, speech technologies, or conversational AI.
- Experience with AWS, GCP, Azure, telephony, SIP, Twilio, or real-time communications.
- Customer-facing engineering, solutions engineering, consulting, or startup experience.
- Willingness to travel up to 10% for customer workshops, launches, and onsite engagements.
Culture & Benefits
- Full-time role with meaningful equity and a choice of cash-equity balance options.
- U.S. visa sponsorship is available for qualified candidates, including H-1B, TN, L-1, E-3, F-1 OPT/CPT, and O-1 visas.
- Medical, dental, and vision insurance covered at 100%.
- $70 per day DoorDash credit, $200 monthly wellness reimbursement, and $300 monthly commuter reimbursement.
- $75 monthly phone reimbursement and $50 monthly internet reimbursement.
- Small teams, high ownership, and work across engineering, product, and customer success.
Hiring process
- Offers are based on interview performance rather than prior salary or years of experience.
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