Senior Member of Technical Staff

Cephas Consultancy Services Private Limited

United States, California, San Francisco

Headcount

1

Job Details

  • Experience: 6+ years
  • Salary: Not specified
  • Equity: Competitive equity
  • Visa sponsorship: Not available
  • Employment type: Full-time
  • Work type: In-person

Benefits & Perks

  • Health insurance
  • 401(k)
  • Gym membership, covered if you go 5 or more times per month
  • Free lunch
  • Union Square office and a customer list that includes some of the largest companies in the world

About This Role

As a Senior Member of Technical Staff, you will play a pivotal technical role, architecting and developing systems that simulate, analyze, and evaluate conversational AI agents across voice and multimodal systems. You will design resilient, scalable infrastructure to handle millions of real-time conversations. You will also build the algorithms and pipelines that surface insights, detect failure modes, and help keep agents safe, reliable, and aligned with human intent.

This is a full-ownership role on a small team, requiring full-stack proficiency and attention to detail. It is also customer-facing: you will work on-site with customers to build, sell, and deploy the product to some of the largest companies in the world.

Responsibilities

  • Architect and develop simulation, analysis, and evaluation systems for conversational AI across voice and multimodal applications.
  • Build resilient, scalable AWS infrastructure using Lambda, EC2, WebSockets, and SIP to support millions of real-time conversations.
  • Build algorithms and pipelines that surface insights, detect failure modes, and help keep agents safe and aligned.
  • Lead technical execution of projects end to end across the backend stack (Python, FastAPI, Supabase, Redis, AWS, and WebSockets); voice technologies (LiveKit, Deepgram, Cartesia, ElevenLabs, and Gemini); and observability tools (Sentry, PostHog, Grafana, and Datadog).
  • Work on-site with customers to build, sell, and deploy the product.

Requirements

  • 6–8 years of experience working as a senior engineer.
  • Proficiency across the stack, particularly with databases, AWS, and AI engineering.
  • Experience with voice AI technologies such as LiveKit and Deepgram.
  • A track record of building high-traffic features at scale and leading a project’s technical execution.
  • A strong bachelor’s degree and/or prior experience at a fast-growing startup.
  • Ability to work in the office from 9 a.m. to 7 p.m., five days a week.