Drimva

TextNow

Senior Software Developer, AI

$124K–$299K

San Francisco - hybrid +2 · Senior · Full-time · Posted Jun 4, 2026

Location
San Francisco - hybrid
San Francisco, California, United States
Waterloo, Ontario
Experience
5+ years of software development experience.

About the job

Build and scale production AI applications, services, and automations, while guiding technical delivery and helping teams across TextNow adopt AI capabilities.

What you'll do

  • Design, develop, deploy, and scale AI-enabled applications, internal tools, workflows, and reusable services.
  • Lead architecture and implementation, balancing experimentation with security, governance, reliability, and operational excellence.
  • Partner with business teams to identify AI opportunities, translate needs into solutions, and mentor stakeholders on AI practices.

What they ask for

  • 5+ years of software development experience and experience delivering production-grade software systems.
  • Strong programming skills in one or more modern languages (Go, Python, TypeScript, Ruby, or similar), plus experience with cloud platforms and modern deployment practices.
  • Hands-on experience building applications with Large Language Models and experience training custom models.
  • Understanding of prompt engineering, evaluation methodologies, AI system design, and workflow automation or orchestration platforms.

Nice to have

  • Experience with enterprise AI solutions, model ecosystems, AI monitoring, or governance, evaluation, or security frameworks.
  • Telecommunications industry experience or experience building internal developer productivity tools.

Pay

$136,300 - $273,900 a year (base salary); USD $123,900 - $249,000 (base salary); USD $136,300 - $273,900 (base salary); USD $148,700 - $298,800 (base salary)

Tools

Go, Python, TypeScript, Ruby, Large Language Models, OpenAI, Anthropic, Google

AI focus

Build and scale LLM-powered applications, agents, automations, and internal AI capabilities; train custom models; evaluate emerging technologies; and contribute to AI governance, evaluation, and responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)