Senior Software Engineer | AI SaaS Software

Join an innovative, remote-first engineering team transforming how software is designed, developed, and delivered through AI-native workflows. As a Senior Software Engineer, you will play a key role in evolving a SaaS platform that helps organizations automate recurring workflows, strengthen compliance, and improve operational efficiency. You will work across backend architecture, frontend development, APIs, and AI-assisted engineering systems, using tools such as Claude Code and Codex to accelerate implementation and problem-solving. Beyond delivering features, you will help redefine how engineers collaborate with AI, build reusable development tools, and improve code quality across the organization. With significant autonomy, minimal meetings, and a focus on outcomes rather than rigid processes, this role offers the opportunity to influence both product direction and engineering culture. You will also have the opportunity to lead a small team and help shape the future of AI-driven software development.

• At least 7 years of professional software engineering experience, with a strong background in designing, building, and maintaining production systems.
• Strong backend engineering expertise in Scala or comparable languages such as Java, Ruby, or C#.
• Solid JavaScript and React experience, with the ability to develop and maintain modern frontend applications.
• Demonstrated experience building, scaling, and evolving SaaS products in production environments.
• Deep familiarity with AI-powered coding tools such as Claude Code, Codex, Cursor, or comparable agentic development solutions.
• Practical experience working with multi-session coding environments and agent-driven workflows, including managing context, coordinating tasks, and guiding long-running coding sessions.
• Strong judgment in determining when to rely on AI-generated solutions and when manual implementation or deeper investigation is necessary.
• Experience designing systems and architectures rather than focusing exclusively on implementing individual features.
• Ability to build or customize AI-assisted development workflows, internal engineering tools, reusable prompts, and agent-based systems that operate across files, repositories, or tasks.
• Comfort moving between software implementation, system design, AI-agent guidance, debugging, and reviewing generated code.
• Excellent written communication skills and the ability to collaborate effectively in an asynchronous, distributed team.
• A self-directed and entrepreneurial mindset, with the ability to prioritize work, make sound technical decisions, and deliver results in ambiguous environments.
• Strong ownership, adaptability, and a focus on measurable outcomes, engineering leverage, and continuous improvement.
• Willingness to work autonomously, contribute across different product areas, and balance feature delivery with long-term technical quality.
• Availability to work within the team's preferred time zones, approximately UTC−6 to UTC+2, spanning North American Central Time through Central European Summer Time.

• Experience with functional programming concepts and practices.
• Experience building internal developer platforms, engineering tools, or productivity systems.
• Experience designing prompt systems, reusable AI workflows, or agent-based engineering solutions.
• A clear perspective on how AI will transform software engineering over the next three to five years, supported by practical experimentation or implementation.
• Experience helping teams adopt new development methodologies and improve collaboration between product, design, and engineering.