Software Engineer
Wolt is hiring a Software Engineer. Level rates it ; you can apply on Wolt.
Level's read on this job
- Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include ChatGPT, Claude and Copilot.
- Level classifies it as a mid-level role.
- Level lists 198 other open roles at Wolt.
AI in this role
Design and operate scalable backend services and AI-powered translation capabilities using LLMs in production.
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
This is where the Multilingual Intelligence & Resolution Automation (MIRA) team comes in. The team is on a mission to make customer support truly borderless. We’re building intelligent, AI-powered systems used across Wolt, DoorDash, and Deliveroo, including a real-time translation engine that supports seamless conversations across 20+ languages. Processing hundreds of requests per minute and powered by modern cloud infrastructure and state-of-the-art LLMs, this system enables borderless support and helps create experiences that feel natural, human, and native, no matter where you are in the world. And we’re only just getting started.
What you’ll be doing
- Design, build, and operate scalable backend services powering real-time, customer-facing systems
- Develop and evolve AI-powered translation capabilities using LLMs in production
- Help build the tooling and infrastructure needed to evaluate models across quality, latency, and cost
- Collaborate closely with product, applied science, frontend, and platform teams to turn complex support problems into robust user-facing systems
- Take ownership of technical decisions and help shape the architecture and future direction of the system
- Improve the performance, reliability, and operational readiness of services handling real production traffic
- Continuously explore better ways of working, including leveraging AI tools to improve development workflows
- You have strong backend development skills in Python or Go (interest in other tech is highly appreciated)
- You actively leverage modern AI tools (such as GitHub Copilot, Claude, ChatGPT or similar) to enhance your productivity, code quality, and day-to-day development workflow.
- You have experience with cloud platforms (AWS or similar), container orchestration (Kubernetes, Docker), observability tools (such as DataDog), and database technologies (SQL and NoSQL).
- You're a pragmatic problem-solver with a growth mindset, eager to step outside your comfort zone and continuously learn.
- You're comfortable working with real-world data and its nuances.
- You have solid experience designing, building, and integrating quality software (microservices) at scale within a complex domain.
- A chance to build something that truly matters, technology that enables people to connect and solve problems across languages and borders
- The opportunity to work with AI and LLMs in real, high-impact production use cases
- Being part of a global engineering organization of 2000+ people, we aim to build none other than the best-in-the-world engineering team here.
- You’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind, and keep in mind that Luke was Yoda’s greatest achievement.
Compensation
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on factors such as the candidate’s skills, experience and qualifications. Please note, that the starting pay may vary if the candidate does not fully meet the expectations as outlined in this job posting.
The salary below is the monthly salary range for this position.
€5,400 - €8,000 Per month
To learn more about our benefits, please do not hesitate to bring this up with our Talent Acquisition Partner!
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
How we rate this
Software Engineer at Wolt rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- What's a project where you used ChatGPT hands-on?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of Copilot that you've run into, and how did you work around them?
- What's a project where you used Python hands-on?
- Walk me through how you've used LLMs in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ChatGPT, Claude, Copilot, Python, and LLMs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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