AI Native Engineer

Competency Expectations

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.

Key Responsibilities

• 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

Technical Skills & Qualifications

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

Qualifications:

• 4-6 years of professional software development experience

Nice to Have:

• Experience working across multiple programming languages or tech stacks
• Exposure to cloud platforms, containerization, or modern infrastructure concepts
• Experience with AI-driven development workflows, including prompt engineering for code generation and automated testing
• Experience in the automotive, DMS, or SaaS product domain
• Demonstrated ability to quickly ramp up on unfamiliar codebases or technologies using AI-assisted tools

Soft Skills & Behaviours

• Clear and effective written and verbal communication skills in English
• A collaborative mindset with a positive attitude toward team culture and knowledge sharing
• Willingness to give and receive constructive feedback openly
• Curiosity and a strong desire to learn and grow technically
• Ability to manage own workload, estimate tasks accurately, and deliver reliably
• An understanding of the user/customer perspective when making technical decisions

What Success Looks Like

• Within the first 3 months, you are shipping features independently and contributing clean, well-tested code with minimal rework
• Within 6 months, you are accurately estimating your own work, reliably delivering within sprint commitments, and onboarding new team members
• Within 12 months, you are a trusted contributor who proactively improves code quality and team processes, and you are beginning to mentor IC1 engineers
• You consistently demonstrate the ability to pick up new technologies and codebases quickly, leveraging AI-assisted tools to accelerate your learning curve
• Your peers and manager see you as a positive influence on team culture, someone who collaborates openly and gives constructive feedback

What Sets This Role Apart

• Tech stack agnostic philosophy: you will not be boxed into a single language or framework. We invest in engineers who master fundamentals and adapt to any technology with AI-assisted tooling
• AI-first engineering culture: you will work within Keyloop's AI-Driven Development Program, using cutting-edge AI tools as a core part of your daily workflow, not as an afterthought
• A clear, transparent career framework with defined competency expectations and multi-track progression pathways (Technical, Leadership)
• Real product impact: you will contribute to the Fusion Automotive Retail Platform, connecting every phase of the vehicle lifecycle for dealers and consumers worldwide
• Continuous growth support through a Personal Development Plan (PDP), regular coaching, and access to the AI Champions enablement program
• A global, collaborative engineering community grounded in the values of Bold, Authentic, and United