ASG Senior AI-Native Software Engineer

ASG is a market-leading SaaS software company focused on leveraging people and data to drive growth across various industries. They are seeking a Senior AI-Native Software Engineer to lead software development projects across their portfolio, utilizing AI-native coding techniques while also mentoring engineering teams on best practices.

Responsibilities:

• Lead high-impact build projects across ASG portfolio companies, partnering directly with operating companies to design, develop, and deliver software that opens new opportunities for the business
• Work hands-on across the full stack, using AI-native development practices to accelerate delivery while maintaining high standards for production-quality code, architecture, and reliability
• Serve as a technical leader and trusted advisor to engineering teams across the portfolio, influencing without direct authority and helping teams adopt more effective ways of working
• Train and mentor engineers at operating companies on AI-native software development, sharing practical methods, workflows, and tooling that improve productivity and code quality
• Design and host workshops, enablement sessions, and working labs to drive adoption of agentic coding practices across the portfolio
• Help establish repeatable patterns, playbooks, and best practices that can scale across multiple companies, teams, and software environments
• Collaborate closely with portfolio leadership, product stakeholders, and engineering teams to identify opportunities where AI-native development can meaningfully accelerate execution and create value

Requirements:

• 7+ years of software engineering experience, including significant experience building and shipping production-quality applications in senior or lead roles
• Strong software engineering fundamentals with a track record of building and shipping production-quality software
• Ability to work across the full stack, including infrastructure, backend, web, mobile, and databases
• Experience using best-in-class AI and agentic coding tools to accelerate software development
• Familiarity with tools that improve the SDLC, including AI code review, static analysis, testing, CI/CD, and observability
• Curiosity and discipline to stay current with the latest advancements in AI tools and agentic coding workflows
• Strong communication and facilitation skills, with the ability to train and enable broad technical audiences
• Experience across multiple programming languages, frameworks, and tech stacks, with the ability to quickly learn new ones
• Sound judgment in code quality, architecture, security, performance, and maintainability
• Comfortable operating in ambiguous, fast-paced environments and turning ideas into practical solutions
• Comfortable switching contexts quickly and operating effectively across multiple companies, teams, and priorities