Senior Software Engineer (AI & Full Stack)

Fable is hiring a Senior Software Engineer to build and scale customer-facing products and platform capabilities, with a focus on backend systems, full-stack development, and AI-powered applications. The role owns technical solutions from design through production and collaborates across engineering, product, and design to deliver accessible, reliable software.

Responsibilities:

• 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

Requirements:

• 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 (AWS preferred)
• 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
• 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
• TypeScript, JavaScript, Python, Java, or C#
• React or modern frontend frameworks
• Node.js and backend application frameworks
• REST APIs and GraphQL
• AWS cloud services
• Docker and Kubernetes
• MongoDB, PostgreSQL, Redis
• GitHub Actions or CI/CD platforms
• Infrastructure as Code
• Observability and monitoring platforms
• Event-driven architectures
• Serverless computing
• 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
• Experience with technologies such as OpenAI, Anthropic Claude, Model Context Protocol (MCP), LangChain, vector databases, or similar frameworks is considered a strong asset