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Fable

Senior Software Engineer (AI & Full Stack)

RemoteCanada only
Published
Role
Fullstack
Experience
Senior
Employment
Full-time
CAD 135k–CAD 150k/yr
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Open to CA only. Set where you work from to check your eligibility.

No BS summary

Senior full-stack engineer with deep backend experience and 8+ years building scalable production systems. Must have hands-on AI application experience: LLM integrations, agents, agentic workflows, prompt engineering, orchestration, and AI evaluation. Canada-based role.

Core skills

AI agentsBackend engineeringFull-stack development

Required skills

RESTAWSdatabasescaching technologiesmessaging systemsAI-enabled applicationsagentic workflowsLLM integrationsprompt engineeringprompt optimizationtool callingAI orchestrationAI evaluationAI testingAI-assisted software developmentTypeScript/JavaScript/Python/Java/C#ReactNode.jsGraphQLDockerKubernetesMongoDBPostgreSQLRedisGitHub ActionsInfrastructure as Codeobservability platformsmonitoring platformsevent-driven architecturesserverless computing

Optional skills

OpenAIAnthropic ClaudeModel Context ProtocolLangChainvector databases

What you'll do

  • Own technical solutions end-to-end, translating customer and business needs into scalable, production-ready software.
  • Design, develop, test, deploy, and support software throughout its lifecycle.
  • Take accountability for solution quality, maintainability, security, scalability, and operational excellence.
  • Make sound architectural and implementation decisions with minimal oversight.
  • Drive technical execution while balancing delivery speed with engineering quality.
  • Proactively identify risks, remove blockers, and continuously improve engineering effectiveness.
  • Design and build scalable backend services, APIs, microservices, and distributed systems.
  • Develop modern full-stack applications across backend and frontend technologies.
  • Write clean, maintainable, well-tested, and secure code.
  • Optimize application performance, scalability, observability, and reliability.
  • Contribute to architecture, technical design, and platform evolution.
  • Improve developer experience through automation, tooling, and reusable engineering patterns.
  • Design and build AI-powered product capabilities that create measurable customer value.
  • Develop AI agents, agentic workflows, and intelligent automation solutions.
  • Integrate Large Language Models (LLMs), AI services, and external APIs into production applications.
  • Build prompt orchestration, tool-calling, and multi-agent workflows.
  • Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval where appropriate.
  • Evaluate emerging AI technologies and rapidly prototype new capabilities.
  • Leverage AI-assisted development tools such as Claude Code, GitHub Copilot, and similar technologies to improve engineering productivity.
  • Continuously identify opportunities to use AI to simplify engineering workflows and improve customer experiences.
  • Partner closely with Product Managers and Designers to understand customer problems and business objectives.
  • Translate customer needs into scalable, high-quality software solutions that deliver measurable business value.
  • Participate in technical discovery, solution design, estimation, and delivery planning.
  • Build solutions that prioritize accessibility, usability, reliability, and customer outcomes.
  • Champion engineering best practices including code quality, automated testing, CI/CD, observability, and secure software development.
  • Participate in peer code reviews and architectural design reviews.
  • Improve engineering standards through documentation, automation, and continuous improvement.
  • Participate in production support, incident response, root cause analysis, and operational improvements.
  • Reduce technical debt while maintaining delivery momentum.
  • Provide technical leadership across projects and initiatives.
  • Mentor engineers through code reviews, technical guidance, and knowledge sharing.
  • Influence technical direction through collaboration and sound engineering judgment.
  • Foster a culture of ownership, accountability, innovation, and continuous improvement.

What they require

  • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
  • 8+ years of professional software development experience.
  • Extensive backend software engineering experience building scalable production systems.
  • Strong full-stack development experience.
  • Experience designing and developing RESTful APIs and distributed systems.
  • Strong experience with cloud platforms.
  • Experience with modern databases, caching technologies, and messaging systems.
  • Strong understanding of software architecture, design patterns, and engineering best practices.
  • Experience working in Agile software development environments.
  • Excellent analytical, problem-solving, and communication skills.
  • Demonstrated hands-on experience with modern AI software development.
  • Building AI-enabled applications.
  • AI agent and agentic workflow development.
  • Large Language Model (LLM) integrations.
  • Prompt engineering and prompt optimization.
  • Tool calling and AI orchestration.
  • AI evaluation and testing.
  • Rapid prototyping using AI technologies.
  • AI-assisted software development.
  • Preferred: Experience with technologies such as OpenAI, Anthropic Claude, Model Context Protocol (MCP), LangChain, vector databases, or similar frameworks is considered a strong asset.
  • Demonstrated technical skills.
  • Take ownership and accountability for outcomes.
  • Deliver with urgency while maintaining high engineering standards.
  • Make informed technical decisions independently.
  • Adapt quickly to changing priorities and business needs.
  • Solve complex problems with a pragmatic, customer-focused mindset.
  • Communicate effectively with technical and non-technical stakeholders.
  • Mentor others and contribute to a high-performing engineering culture.
  • Continuously learn and embrace emerging technologies, particularly AI.
  • You amplify voices that are less often heard and create space for those voices to grow.
  • If you're going to do something, you will do it well.
  • Practice often and rest when needed.
  • Give your mind what it needs to thrive.
  • It's essential to understanding our personal bias and position so that we can grow.

Benefits

  • Collaborative and mission-driven environment.
  • Work with people who care deeply about building a more inclusive digital world.
  • Stock options.
  • Career growth opportunities.
  • Professional development support.
  • Health and dental coverage.
  • Accessibility accommodations.

Global enterprises work with Fable to make products more accessible for over one billion people who live with disabilities. Customers include Walmart, Slack, and Shopify.

AccessibilityStartup
CAD 135k–CAD 150k/yr