AI-Native Professional Engineer

As an AI-Native Professional Engineer at Trengo, your key responsibilities include utilizing AI tools to enhance development processes, participating in the technical implementation of components within event-driven architectures, and contributing to the overall performance and reliability of our system. You'll also embrace true agility in your work, focusing on delivering value without unnecessary overhead, while collaborating closely with your team members through pair programming and knowledge sharing.

To excel as an AI-Native Professional Engineer at Trengo, applicants should possess 2-4 years of professional experience in relevant technologies, including proficiency in coding and an understanding of AI-augmented development tools. A solid grasp of service-oriented architectures and API design is also necessary, along with strong problem-solving skills and effective time management capabilities. A collaborative spirit and excellent communication skills will set you apart in our team-driven environment.

Trengo provides a range of benefits for the AI-Native Professional Engineer, including flexibility to work hybrid and from abroad for up to 60 days a year. You’ll also have access to an education budget, free sessions with on-demand psychologists to support your mental health, 28 vacation days, internet and phone allowances, and opportunities to take Dutch courses. Enjoying delicious lunches prepared by our in-house chef in our beautiful office is just the cherry on top!

At Trengo, professional growth is a priority. As an AI-Native Professional Engineer, you’ll benefit from a structured growth track defined by your manager, encouraging you to pursue the career path you desire. We actively promote continuous learning through an education budget, along with offering extra days off for courses or conferences. This commitment to development ensures you grow alongside our fast-paced, innovative environment.

The engineering culture at Trengo is built around small, empowered teams that focus on leveraging AI to solve complex problems efficiently. We prioritize true agility over formal ceremonies, concentrating on outcomes rather than rigid processes. Our engineers continually learn and experiment in a supportive environment where everyone's contributions are valued, allowing individuals to make significant impacts on projects from the get-go.

When answering this question, highlight specific tools you’ve used, like Cursor or Windsurf, and share how they impacted your coding, debugging, and overall efficiency. Mention any projects where the integration of these tools significantly enhanced your workflow and contributed to successful project outcomes.

Discuss your methodology for tackling challenges, including how you identify root causes and brainstorm potential solutions. Use examples from previous projects where you implemented maintainable solutions and demonstrate your ability to approach complex issues with a practical mindset.

Explain your understanding of event-driven architecture, emphasizing its reactive nature and how it supports high scalability. You might reference any experience you have working with such architectures, discussing how they improve performance and reliability in your previous projects.

When responding, articulate your hands-on experience with CI/CD practices, detailing the tools you’ve used and how they streamlined the deployment process. Illustrate with a situation where CI/CD significantly improved project outcomes, including delivery speeds and reduced errors.

Highlight practices you employ to maintain code quality, such as code reviews, unit testing, and continuous integration processes. Share personal anecdotes that showcase your commitment to producing high-quality code and how it aligns with Trengo's values.

Discuss your attitude toward pair programming and share experiences where you collaborated with colleagues to solve coding challenges. Emphasize the benefits of knowledge sharing and how it has contributed to both your growth and the team's success.

Articulate the significance of effective communication in engineering, especially in collaborative environments like Trengo. Provide examples of how clear communication has enabled you to work efficiently with cross-functional teams and drive successful project outcomes.

Discuss time management techniques you utilize, such as using project management tools or prioritizing tasks based on deadlines and project impact. Share success stories where your effective time management led to meeting milestones or deadlines efficiently.

State your views on essential qualities such as adaptability, a collaborative mindset, and a results-driven approach. Support your claims by referencing experiences where these traits have helped you succeed in your engineering roles.

Share your strategies for ongoing learning, which may include online courses, attending conferences, following related publications, or participating in professional communities. Emphasize how staying current with trends informs and influences your work as an AI-Native Professional Engineer.