Senior Infrastructure Engineer - AI

• Architect and build distributed systems using Kubernetes and AWS for real-time voice processing
• Design and optimize ML infrastructure for training and inference across multiple regions
• Integrate with complex telephony systems (SIP, VOIP, WebRTC) and enterprise phone networks
• Ensure reliability through robust monitoring, alerting, and incident response (Datadog)
• Anticipate and solve scaling challenges as call volume grows exponentially
• Implement security and compliance best practices for regulated enterprise customers

Artificial Intelligence (AI), Artificial Intelligence (AI), Cloud Computing, Startup, Distributed Computing, Telephony, Building Systems, Machine Learning, High Throughput, Voice Applications, * 3-6 years building and scaling distributed systems, with deep knowledge of cloud infra

• Experience at high-throughput social/fintech companies or fast-growing startups (Seed-Series C)
• Proven track record with high-volume, low-latency workloads, streaming, or real-time processing
• CS degree from a university in the US, Canada, or Europe
• Skilled in Kubernetes, AWS, Go, Datadog; experience with GPUs, ML infra, and real-time audio/video
• Background in telephony systems (SIP, VOIP, WebRTC) and/or security and compliance

Tech Stack

Kubernetes, AWS, Go, Datadog, GPUs, SIP, VOIP, WebRTC

• Early-stage, high-impact role with direct product and technology influence
• Mission-driven: Transform how businesses interact with customers using AI
• Innovative, collaborative culture focused on hard problems in AI and automation
• Explosive traction: Millions of calls daily for major brands and enterprises
• High-growth: $65M raised from top VCs and industry leaders
• Elite founding team with deep AI, healthcare, and automation expertise
• Beautiful Jackson Square office with rooftop views and every tool you need
• Healthcare, dental, vision, and meaningful equity in a fast-scaling company

Open to US Citizens, Green Card holders, and TN Visa holders only.