Senior AI Native Engineer

 

 

 

Role Summary

As a Senior AI Native Engineer (IC3) at Keyloop, you will be a technical leader within your team, owning complex, multi-sprint projects and setting the standard for engineering quality. You will design and implement robust, scalable solutions, mentor junior and mid-level engineers, and be a key driver of team culture and process improvements. We are tech stack agnostic: we believe a strong engineer with deep fundamentals and AI-assisted tooling can master any technology. This role is for engineers who combine deep technical expertise with strong ownership, collaboration, and the ability to influence technical direction at the team level.

Competency Expectations

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

• Design and implement robust, scalable software solutions for complex, team-sized projects spanning multiple sprints
• Lead technical design and architecture discussions within the team, ensuring solutions align with platform strategy
• Own the end-to-end delivery of major features: from technical design through implementation, testing, deployment, and monitoring
• Drive engineering best practices including code quality standards, testing strategies, CI/CD improvements, and effective use of AI-assisted development tools
• Mentor and coach IC1 and IC2 engineers, accelerating their technical growth through pairing, code reviews, and guidance
• Be accountable for the operational health and reliability of the team's systems, including incident response and post-mortems
• Facilitate technical discussions and build consensus on architectural and design decisions
• Collaborate closely with Product Managers, Designers, and stakeholders to shape the team's roadmap and technical approach
• Identify and drive process improvements that increase team velocity, quality, and developer experience
• Proactively identify technical debt, risks, and opportunities, proposing and leading initiatives to address them
• Produce high-quality technical documentation including design documents, ADRs, and runbooks
• Represent the team's technical perspective in cross-team discussions and planning forums

7+ years of professional software development experience, with demonstrated growth in scope and complexity

Experience working across multiple programming languages, frameworks, or tech stacks in production environments

Experience with containerization, orchestration, and infrastructure-as-code concepts

Experience leading or contributing to cross-team technical initiatives

Experience in the automotive, DMS, or SaaS product domain

Demonstrated ability to leverage AI-driven development workflows (agentic coding, multi-agent systems, prompt engineering) to solve complex engineering problems

Experience coaching or enabling teams to adopt AI-assisted development practices

SAFe or Agile certifications

Excellent written and verbal communication skills in English, with the ability to convey complex ideas to diverse audiences

Strong mentoring and coaching ability, with a genuine commitment to developing others

Proven ability to build consensus and influence technical direction without formal authority

A proactive, ownership-driven mindset with accountability for the team's technical outcomes

Ability to facilitate productive technical discussions and navigate disagreements constructively

Strong product sense and ability to connect technical decisions to user value and business outcomes

Comfortable operating in ambiguity and making well-reasoned decisions with incomplete information

Within the first 3 months, you have a deep understanding of the team's domain, codebase, and systems, and you are already leading design discussions and delivering complex features

Within 6 months, you are the go-to technical authority on your team, owning multi-sprint projects end-to-end and driving measurable improvements to code quality and engineering practices

Within 12 months, you have mentored IC1 and IC2 engineers with visible growth in their capabilities, and you have led at least one significant initiative that improved team velocity, reliability, or developer experience

You consistently identify and address technical debt and risks before they become blockers, and you proactively propose solutions

You are recognized across the team as someone who builds consensus, facilitates productive discussions, and connects technical decisions to product and business outcomes

You leverage AI-assisted and AI-driven tools not just for your own productivity, but to elevate the team's engineering practices and adoption of modern workflows

confined to one. We invest in senior engineers who master fundamentals and leverage AI-assisted tooling to work effectively on any stack

AI-first engineering culture: as an IC3, you will shape how your team adopts AI-driven development practices within Keyloop's AI-Driven Development Program, influencing the next generation of engineering workflows

True technical ownership: you will own the architecture, delivery, and operational health of critical systems, with the autonomy to drive meaningful change

A clear, transparent career framework with defined competency expectations and pathways to Staff Engineer (IC4), Engineering Lead (M1), or other tracks that match your ambitions

Real platform impact: you will work on the Fusion Automotive Retail Platform, designing solutions that connect every phase of the vehicle lifecycle at scale

Investment in your leadership growth through continuous coaching, a Personal Development Plan (PDP), and the AI Champions enablement program

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.

 

 

 

Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials.