Senior Software Engineer (AI & Full Stack)

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.

Demonstrated hands-on experience with modern AI software development , including:

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.

Experience with technologies such as OpenAI, Anthropic Claude, Model Context Protocol (MCP), LangChain, vector databases, or similar frameworks is considered a strong asset.

Demonstrated leadership competencies , including:

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.

Within your first year, you will:

Independently deliver complex software solutions from design through production.

Build AI-powered capabilities that improve customer outcomes and engineering productivity.

Contribute to the evolution of Fable's platform architecture and engineering standards.

Improve software quality, reliability, scalability, and operational excellence.

Accelerate engineering execution through AI-assisted development and automation.

Be recognized as a trusted technical leader who consistently delivers high-impact outcomes.

To lead, listen first You amplify voices that are less often heard and create space for those voices to grow. The quality of an idea doesn't correlate with the loudness of someone's voice.

The brain is a muscle 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.

Unlearn to learn What did we learn growing up, and what do we need to unlearn? It's essential to understanding our personal bias and position so that we can grow.

Fable is an inclusive workplace. If you are facing any accessibility requirements or concerns regarding the hiring process or employment with us, please fill out this form or email us at jobs@makeitfable.com and include the subject line “Accessibility accommodation for Senior Software Engineer job application.”