Why this role stands out
Advance your career by leading innovative, high-impact AI initiatives at TextNow, where you will enjoy a competitive salary of CAD 162,000 and the flexibility of a hybrid work environment. This role is perfect for a mission-driven developer who thrives on transforming complex AI opportunities into scalable, production-ready systems that democratize communication for everyone. Apply today to shape the future of AI technology with an industry-leading team.
Quick overview
Job description
We believe that communication belongs to everyone. Our mission is to democratize phone service and remove barriers that prevent people from staying connected.
As TextNow continues to evolve, Artificial Intelligence is becoming a foundational capability across our products, operations, and employee experience. Our AI Labs team is responsible for identifying, validating, and scaling AI-powered solutions that create measurable impact for customers and employees.
We're looking for a Senior Software Developer who can help transform AI opportunities into production-ready systems, partner with stakeholders across the business, and accelerate TextNow's adoption of AI technologies.
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
What You Bring
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
- Telecommunications industry experience
- Experience building internal developer productivity tools
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