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