AI-Driven Software Engineer - Claude Code Lead

Job Title: AI-Driven Software Engineer (Claude Code Lead)

Department: Software Engineering

Employment Type: Full-Time

Work Arrangement: Onsite

Reports To: Director of Software Engineering

We are looking for a software engineer with hands-on experience in the AI Development Life Cycle (AI-DLC) to join our Enterprise SaaS engineering team. This individual will serve as the internal champion of AI-DLC and Claude Code driven development— contributing directly to redefining development velocity, quality, and throughput across the organization—not just introducing tooling, training, and best practices.

This is a unique opportunity to shape how our team leverages AI-DLC at every stage of the software development lifecycle — from architecture and design through to testing and deployment.

AI-Assisted Feature Development

• Responsible for driving the organization’s transition to AI-native software development—where AI is the primary medium through which software is designed, built, and evolved.
• Establish an AI Development Life Cycle covering requirements, stories, specifications, code generation, review, and refactoring practices to improve team velocity and code quality.
• Lead team members in their transformation from software engineers to AI operators
• Actively contribute to building and shipping features using AI development methodologies.

Team Training & Best Practices

• Develop and deliver structured training programs to upskill team members on Claude Code and AI-driven development techniques.
• Create and maintain internal documentation, guidelines, and playbooks for AI-assisted development workflows.
• Foster a culture of experimentation, learning, and continuous improvement around AI tooling.

Architecture & Technical Strategy

• Evaluate emerging AI tools, frameworks, and APIs and assess their fit for the team.
• Provide architectural guidance and technical recommendations for integrating the AI Development Life cycle, AI Claude Code capabilities into our Enterprise SaaS platform.
• Collaborate with the Director of Software Engineering to define the AI development roadmap.

Internal Dev Tooling & Automation

• Design and build internal tools, scripts, and automation workflows powered by AI-DLC to streamline engineering processes (CI/CD, code review, testing, documentation).
• Maintain and iterate on AI tooling infrastructure to ensure reliability and scalability.

Experience & Education

• Familiarity and experience with AI-DLC
• Contributions to open-source AI tooling projects or publicly visible technical work demonstrating AI-assisted development expertise.
• Exposure to multi-language codebases and polyglot engineering teams
• 5 years of professional software engineering experience.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).

Technical Skills

• Proficiency in the AI Development Life Cycle & Claude Code
• Demonstrated hands-on experience using Claude Code and comparable AI-assisted development tools in a professional setting.
• Experience building or maintaining internal developer tools, automation scripts, or AI-powered workflows in a SaaS environment.
• Familiarity with the Anthropic Claude ecosystem (Claude Code, Claude API, model families such as Sonnet and Opus).
• Solid understanding of software architecture principles, design patterns, and best practices for Enterprise SaaS systems.
• Experience with REST APIs and working with LLM APIs (e.g., Anthropic Claude API, OpenAI API).
• Familiarity with prompt engineering techniques and strategies for getting reliable, high-quality outputs from large language models.
• Experience with version control (Git) and CI/CD pipelines.
• Ability to mentor and guide junior or peer engineers.
• Strong written and verbal communication skills — able to explain complex AI concepts to non-specialists.
• Self-directed learner who stays current with the fast-evolving AI development landscape.
• Collaborative team player comfortable working in a hybrid environment.

You will be working across a polyglot Enterprise SaaS codebase. Familiarity with some or all of the following is expected:

• Dev Ops/CI/CD:
  Git, Git…