How to apply for AI-Native Engineer

AMPECO

About AMPECO

AMPECO builds a SaaS platform that lets large-scale EV charging providers manage their charging infrastructure and energy use. The platform handles 300,000+ charge ports across 70 markets with 24/7 SLAs, and the company operates in the UK, continental Europe, the Americas, Australia, and Asia. The work is tied to real infrastructure that businesses depend on.

About the role

This is an AI-native engineer role at the core of AMPECO's platform, which manages critical EV charging infrastructure. You will build software that charging businesses rely on daily, and you will work in an environment where AI is changing how software gets built. The role is remote and full-time.

A typical day

A typical day likely involves writing and reviewing code for a platform that manages charging infrastructure across many markets. You would work with AI tools as part of your development process and collaborate with others on reliability and architecture decisions. Specific routines and team structure are not described in the job details, so ask about them in an interview.

Who AMPECO is looking for

  • You have built or maintained production software with 24/7 SLAs and understand what reliability means for critical infrastructure.
  • You are comfortable with evolving technologies and treat AI-driven changes to software development as something to work with, not avoid.
  • You can reason about clean architecture and hard engineering problems in a SaaS product that processes energy and charging data.
  • You are interested in e-mobility and energy, and you want to build software that real businesses use across multiple markets.

Tips for this application

  • Reference AMPECO's scale directly: 300,000+ charge ports across 70 markets with 24/7 SLAs. Show you understand what that means for software design and reliability.
  • Describe concrete experience building or operating production systems under strict uptime requirements. Avoid vague claims about being a fast learner.
  • Explain how you use AI in your engineering workflow today. The job title is AI-native engineer, so give specific examples of tools, patterns, or decisions.
  • Mention any exposure to EV charging, energy management, or IoT-adjacent systems. If you lack that, connect your experience to the domain in one or two sentences.
  • Keep your application focused on engineering decisions and outcomes. AMPECO's product is technical infrastructure, so lead with technical substance.

What to cover in your cover letter

['Your experience building or maintaining SaaS platforms with high uptime and SLA requirements.', 'How you approach AI as part of software development, with concrete examples of how it changes your work.', 'Your understanding of what it takes to support a platform that operates across 70 markets and multiple regions.', 'Why EV charging infrastructure specifically interests you, and what you bring to a product that manages energy and charging operations.']

Draft a cover letter

Research before applying

  • Read AMPECO's product documentation or public materials to understand what their SaaS platform actually does for charging providers.
  • Look into the EV charging market in the regions AMPECO names: UK, continental Europe, the Americas, Australia, and Asia. Understand what charging providers need from software.
  • Check AMPECO's public engineering presence, if any, to see what technologies they use and how they talk about their platform.
  • Understand what OCPP, charge port management, and energy management mean in practice, since these are likely part of the platform's domain.

Likely interview topics

Based on the job description, expect questions about:

  • How you would design or maintain a system that manages 300,000+ charge ports with 24/7 SLAs.
  • Your current use of AI tools in software development and how you decide when they help or hurt.
  • How you handle evolving requirements and technology changes in a long-lived SaaS product.
  • A time you dealt with a production incident or reliability problem in a critical system.
  • How you think about clean architecture when the domain involves energy management and real-time charging data.
Practise interview questions

Common mistakes to avoid

  • Writing a generic software engineering cover letter that does not mention EV charging, energy, or AMPECO's platform scale.
  • Claiming to be AI-native without giving specific examples of how you use AI in engineering work.
  • Ignoring the 24/7 SLA and critical infrastructure aspect of the role, which suggests you have not thought about reliability requirements.

Deadline

No deadline is listed. Roles without a deadline usually close once the employer has enough candidates, so apply soon if you are interested.