AI Native Engineer

Aligned with the Keyloop Engineering Career Framework, this role is assessed across five core competency domains:

Competency Domain

What We Expect

Technical Mastery & Innovation

Demonstrates proficiency in the team's tech stack. Writes clean, maintainable, well-tested code with minimal guidance. Follows established patterns and contributes to code quality.

Execution & Delivery

Independently owns the delivery of medium-sized features. Accurately estimates tasks and provides reliable status updates. Manages own workload effectively within sprints.

Leadership & Influence

Is a positive influence on team culture. Onboards new team members. Begins to mentor interns or IC1 engineers, helping them ramp up and grow.

Communication & Collaboration

Clearly articulates technical concepts to peers. Writes clear and concise documentation. Participates actively in team discussions, code reviews, and design sessions.

Product & Business Impact

Understands the "why" behind their work, including the customer problem and business outcome. Connects technical decisions to user value and product goals.

Design, develop, test, and maintain software features across the Keyloop platform with increasing independence

Write clean, well-structured, and thoroughly tested code that meets team coding standards and best practices

Participate in code reviews, providing constructive feedback and incorporating feedback from peers

Collaborate with Product, Design, and QA to translate requirements into technical solutions

Contribute to sprint planning, estimation, and retrospectives within an Agile/Scrum framework

Troubleshoot and resolve defects, contributing to the operational health of the team's systems

Create and maintain technical documentation for features and components you own

Onboard new team members and begin mentoring more junior engineers (IC1s, interns)

Proactively identify and suggest improvements to code quality, tooling, and development processes

Leverage AI-assisted development tools to accelerate coding, learning, and adapting to new technologies and codebases

Required:

Strong software engineering fundamentals: data structures, algorithms, design patterns, and object-oriented/functional programming principles

Proficiency in at least one programming language, with the ability and willingness to learn new languages and frameworks as needed

Experience writing unit tests, integration tests, and practicing test-driven or test-informed development

Familiarity with version control systems (Git) and CI/CD pipelines

Understanding of core software architecture concepts: APIs, services, databases, and modern application design

Comfortable working in Agile/Scrum development environments

Proficiency in leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate coding, debugging, and learning new technologies

A tech stack agnostic mindset: we value engineers who can adapt to any technology with strong fundamentals and AI-assisted tooling

We are Bold: We challenge the status quo, explore new technologies, and champion high standards for quality.

We are Authentic: We engage in open, honest, and respectful dialogue. We admit when we are wrong and are transparent about risks.

We are United: We adopt a platform-first mentality, collaborate seamlessly across teams, and actively mentor others to elevate the entire team.