Staff AI Engineer — Lead Real‑Time Conversational Platform

podium81

United States

Remote

USD 180,000 - 240,000

Full time

23 hours ago
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Benefits offered by this job

Medical/dental/vision
Life and disability insurance
Parental leave
Fertility benefits
Retirement matching
Four-day summer weekends

Job summary

podium81 is seeking a senior software engineer to design and scale a production AI agent platform handling customer conversations across voice, text, and chat. You will work on distributed services, APIs, infrastructure, and reliability to deliver accurate, responsive experiences for businesses and their customers.

You will own features end-to-end, prototype rapidly with real interaction data, and collaborate with AI/ML, product, and engineering teams.

Qualifications

  • 10+ years in professional software engineering.
  • At least 1 year deploying production AI agents.
  • Experience with distributed/high-throughput systems.
  • Clear communication and cross-team collaboration.
  • Willingness to work across infra, APIs, and user-facing software.

Responsibilities

  • Build high-volume, low-latency services for conversational workflows.
  • Design APIs and infrastructure for multi-turn interactions across channels.
  • Own features through architecture, implementation, deployment, and operations.
  • Prototype quickly and use real interaction data to improve performance.
  • Establish monitoring and operational practices, tracking accuracy and latency.
  • Collaborate with engineering, product, and AI/ML teams to deliver end-to-end capabilities.

Skills

Go
Python
Elixir
Distributed systems
Low-latency
APIs
Communication

Tools

LangGraph
CrewAI
AutoGen

Job description

podium81 is seeking a senior software engineer to design and scale a production AI agent platform handling customer conversations across voice, text, and chat. You will work on distributed services, APIs, infrastructure, and reliability to deliver accurate, responsive experiences for businesses and their customers.

You will own features end-to-end, prototype rapidly with real interaction data, and collaborate with AI/ML, product, and engineering teams.

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