Senior Software Engineer II (AI Native)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer II (AI Native) based in United States . This is a senior full-stack engineering role focused on building technology for meaningful, large-scale consumer experiences. You’ll initially work on products supporting aging adults who want to remain independent while staying connected with their families. The role combines backend engineering, native mobile development, cloud technologies, and AI-native development practices. You’ll own features end to end, from architecture and implementation through production operations, on-call, and measurable member impact. You’ll also help define how AI can transform engineering workflows, from ideation and coding to testing, reviews, and iteration. The environment is remote-first, highly collaborative, and designed around experimentation, technical ownership, and continuous improvement. As priorities evolve, you may also help extend successful product and engineering patterns into connected devices and pet-focused experiences. Accountabilities: - Design, build, and operate end-to-end product features across backend services, APIs, and native iOS and Android experiences. - Work across Java, Spring Boot, Kafka, Kafka Streams, AWS, Swift, Kotlin, and related cloud-native technologies as required by the product. - Use AI coding assistants and agentic workflows as first-class engineering tools for analysis, specification, implementation, testing, refactoring, codebase navigation, and documentation. - Help establish and document AI-native engineering practices, creating playbooks and workflows that can be adopted across the wider engineering organization. - Collaborate closely with product managers, designers, and platform engineers to turn complex user needs into reliable, scalable, and accessible solutions.

- Own the complete lifecycle of the systems and features you build, from initial implementation through production monitoring, incident response, and on-call support. - Contribute to architectural decisions, technical standards, code reviews, and continuous improvement initiatives. - Apply AI-assisted development techniques to increase engineering leverage while maintaining strong quality, security, reliability, and accountability standards. - Mentor other engineers and share effective AI workflows, prompting strategies, development practices, and technical approaches. - Monitor and improve performance, reliability, accessibility, and overall quality for the experiences you own. - Adapt successful technical and product patterns to support additional customer segments and emerging product priorities as the team evolves. Requirements: - 5+ years of professional experience building and operating high-quality, consumer-scale software or services. - At least 1 year of hands-on experience prompting, evaluating, and building with large language models or AI-based development technologies. - Strong full-stack capabilities spanning backend services and native mobile development, with experience in iOS and/or Android and the ability to move comfortably across the technology stack. - Experience with technologies such as Java, Spring Boot, Kafka, Kafka Streams, AWS, Swift, Kotlin, or comparable modern backend, cloud, and mobile technologies. - Deep understanding of agentic development workflows, prompt engineering, context management, and MCP/function calling. - Demonstrated ability to use AI tooling as a substantive engineering partner rather than solely for autocomplete, research, or basic assistance. - Strong ownership mindset, with the ability to identify problems independently and follow solutions through development, production, and measurable customer impact. - Strong communication and collaboration skills, with the ability to work effectively with product, design, platform, and engineering teams.