Join a pioneering product engineering team dedicated to transforming innovative ideas into market-ready products. This role empowers engineers to leverage AI tools, including coding copilots and agentic systems, to design, build, test, and deploy sophisticated product components and services. The position emphasizes system thinking, architectural design, validation, and product ownership, utilizing AI to streamline development processes and enhance productivity.

This is an opportunity to be at the forefront of next-generation software development, where AI acts as a powerful force multiplier in creating cutting-edge products.

Drive the complete product lifecycle from concept to production with a high degree of autonomy. Embrace rapid, iterative development cycles to meet business objectives and user needs.

Collaborate closely with product managers and designers, translating user requirements into actionable technical specifications. Focus on producing high-quality, scalable, and maintainable code, and adeptly resolve complex technical challenges across development and production environments.

Utilize AI coding assistants to accelerate feature development, critically review AI-generated code, and ensure the accuracy, security, and performance of AI-assisted outputs. Take ownership of comprehensive unit testing and validation to deliver bug-free, robust software.

Develop and deploy scalable, observable, secure, and cloud-ready microservices, APIs, data pipelines, and event-driven architectures. Leverage modern AI frameworks to automate engineering workflows, including code generation, test creation, documentation, refactoring, and debugging.

Ensure superior product quality through meticulous review of AI-generated code, implementation of automated tests, and execution of performance and security assessments. Adhere to robust DevOps practices, including CI/CD pipelines, and design all components for native cloud deployment.

Demonstrated proficiency in at least one major programming language (Java, Python, Go, TypeScript) is essential. Experience with microservices, REST/GraphQL APIs, distributed systems, and both SQL and NoSQL databases is required. Familiarity with cloud platforms (AWS, Azure, GCP), containerization, orchestration, infrastructure automation, and observability tools is crucial. Prior experience with AI engineering tools such as GitHub Copilot, Cursor, or Claude is a key requirement.