Software Engineer, DevAI

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer, DevAI based in the United States.** Join a collaborative engineering team dedicated to transforming developer productivity through innovative AI-powered infrastructure and tools. In this role, you will design and build foundational AI solutions that streamline workflows across the entire software development lifecycle. From agentic coding tools and asynchronous AI workflows to internal AI application frameworks and automated code migrations, your work will help engineers deliver better software more efficiently. You will combine hands-on software engineering with architectural decision-making, experimentation, and cross-functional collaboration. Working in a fast-moving environment, you will have the autonomy to explore emerging AI technologies and turn promising ideas into reliable, scalable products. This is an opportunity to shape how engineering teams work, accelerate innovation, and make a meaningful impact across a large technology organization. ### Accountabilities - Build AI-powered developer tools: Design, develop, and maintain AI infrastructure and products that improve engineering productivity throughout the software development lifecycle. - Drive technical strategy: Contribute to the team's AI for Developers roadmap, taking ideas from initial exploration through implementation, deployment, and continuous improvement. - Develop scalable platforms: Build foundational infrastructure, SDKs, and frameworks that enable engineering teams to create and deploy their own domain-specific AI applications quickly and efficiently. - Explore emerging AI technologies: Evaluate new models, frameworks, agentic coding tools, and asynchronous AI workflows, balancing experimentation with measurable improvements in developer productivity. - Support internal teams: Act as a technical advisor, mentor, and consultant, helping engineers and technical leaders adopt AI capabilities and integrate them into their daily workflows. - Make sound engineering decisions: Establish pragmatic architectures and implementation approaches that balance innovation, scalability, maintainability, and operational requirements. - Maintain engineering excellence: Deliver high-quality code, thoughtful technical designs, reliable systems, and effective operational practices. - Ensure platform reliability: Participate in on-call rotations, troubleshoot production issues, and continuously improve the performance and resilience of developer infrastructure. - Collaborate across disciplines: Work closely with partner engineering teams and stakeholders to identify opportunities, share knowledge, and deliver solutions that address real development challenges. ## Requirements - Professional experience: At least 2 years of industry experience in software engineering or equivalent practical expertise. - Software development skills: Proficiency in one or more programming languages, including Go, Python, TypeScript, or Kotlin. - Developer infrastructure experience: Previous experience building developer tools, internal platforms, infrastructure, or productivity-focused systems, ideally at scale. - Applied AI expertise: Hands-on experience using AI technologies to solve practical software development problems, with an understanding of how to integrate AI capabilities into real-world workflows. - Technical adaptability: Demonstrated ability to learn new technologies, programming languages, and technical domains quickly, with a genuine interest in continuous learning and experimentation. - Architectural judgment: Ability to evaluate technical trade-offs and make pragmatic decisions that support reliable, maintainable, and scalable systems. - Communication skills: Excellent written and