Senior Software Engineer — AI & Real-Time Lead

Reflekt Legal

Austin, Northern (TX, KY)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Reflekt Legal in Austin, TX is seeking a Senior / Staff Software Engineer to own features end-to-end across frontend, backend, and infrastructure. You will help build and scale our AI employees platform, including FastAPI services and data flows, on GCP and Kubernetes.

The role offers a path to Lead Engineer and onsite preference with rare hybrid options. You will work with the founders to set technical direction, applying AI in real-time systems and voice/speech contexts, and ship

Qualifications

  • Staff or senior full-stack engineer with 4+ years shipping production systems.
  • Experience owning cloud infrastructure at scale, ideally with voice, SMS, or real-time media.
  • Experience building with applied AI beyond prompt engineering (speech models, ML pipelines, real-time inference).
  • Proficiency with Python/FastAPI on the backend, and modern TypeScript frontend; familiarity with GCP/Kubernetes.

Responsibilities

  • Own features end to end across frontend, backend, and the infrastructure they run on.
  • Build and scale our AI employees platform: the application, the FastAPI services, and the data flows that connect them.
  • Run our cloud and telephony backbone on GCP and Kubernetes, keeping production reliable and low-latency as we grow.
  • Lead our real-time voice work and own its hardest challenges: reducing latency and expanding capabilities.
  • Set technical direction with the founders and raise the engineering bar as the team grows.

Skills

Full-stack engineering
Cloud infrastructure
Applied AI
Voice/telephony
Real-time systems

Tools

Python
FastAPI
GCP
Kubernetes
TypeScript

Job description

Reflekt Legal in Austin, TX is seeking a Senior / Staff Software Engineer to own features end-to-end across frontend, backend, and infrastructure. You will help build and scale our AI employees platform, including FastAPI services and data flows, on GCP and Kubernetes.

The role offers a path to Lead Engineer and onsite preference with rare hybrid options. You will work with the founders to set technical direction, applying AI in real-time systems and voice/speech contexts, and ship

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