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 Role Description 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. Key Responsibilities 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. Required Qualifications 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: DevOps/CI/CD: Git, GitHub/GitLab, automated testing, deployment pipelines. Platform: Enterprise SaaS (cloud‑hosted, multi‑tenant). What We Offer A forward‑thinking engineering team committed to embracing AI‑assisted development. Hybrid work arrangement with flexibility to balance in‑office collaboration and remote focus time. A small, high‑ownership team where your work and ideas will have direct, visible impact. Investment in your professional development: access to AI tools, training resources, and conference attendance. Competitive compensation and benefits commensurate with mid‑level engineering roles. #J-18808-Ljbffr DATAMYTE