Senior Software Developer, AI
TextNow · San Francisco, CA · 1 mo ago
HybridEngineeringFull-time
What You'll Do
- Build AI-Powered Solutions
- Design, develop, and deploy AI-enabled applications, services, and automations
- Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks
- Evaluate emerging AI technologies and rapidly prototype new concepts
- Transform proofs-of-concept into scalable production systems
- Lead Technical Delivery
- Drive architecture and implementation decisions for AI initiatives
- Define patterns and standards for AI application development
- Balance experimentation speed with security, governance, and operational excellence
- Ensure solutions are reliable, observable, maintainable, and cost-effective
- Enable the Organization
- Partner with business stakeholders to identify high-value AI opportunities
- Translate business problems into technical solutions
- Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations
- Help teams adopt AI capabilities and best practices
- Build Internal AI Capabilities
- Develop reusable AI services, frameworks, and components
- Create integrations with enterprise platforms and business systems
- Design automation workflows that reduce manual effort and increase operational efficiency
- Contribute to AI governance, evaluation frameworks, and responsible AI practices
- Mentor and Influence
- Coach engineers and technical stakeholders on AI development approaches
- Share knowledge, best practices, and lessons learned
- Drive technical discussions and influence the direction of TextNow's AI strategy
- Technical Experience
- 5+ years of software development experience
- Experience designing and delivering production-grade software systems
- Strong programming skills in one or more modern languages (Go, Python, TypeScript, Ruby, or similar)
- Experience with cloud platforms and modern deployment practices
- AI & Automation Experience
- Hands-on experience building applications with Large Language Models
- Experience training custom models
- Understanding of prompt engineering, evaluation methodologies, and AI system design
- Experience with workflow automation and orchestration platforms
- Familiarity with retrieval systems, vector databases, knowledge management, or agent frameworks
- Delivery & Collaboration
- Comfortable operating in ambiguous environments with evolving requirements
- Strong communication skills with technical and non-technical audiences
- Demonstrated ability to lead projects from concept through deployment
- Ability to identify opportunities independently and drive execution
- Mindset
- Curious and pragmatic
- Strong ownership mentality
- Bias toward experimentation and learning
- Able to balance speed with long-term sustainability
- Excited by solving business problems using technology
- Nice to Have
- Experience building enterprise AI solutions
- Experience with OpenAI, Anthropic, Google, or open-source model ecosystems
- Experience with observability and AI performance monitoring
- Experience implementing AI governance, evaluation, or security frameworks
- Telcommunications industry experience
- Experience building internal developer productivity tools