Senior Software Engineer Berlin or Potsdam · Full-time · Start: 01.08.2026 Details & apply →

Nulegal GmbH (operating as “nu:legal”); Potsdam; Hybrid; USD 69,508 - 115,848; Full time

Benefits offered by this job

Equity above average for startups

Work from anywhere for a month per year

Job summary

Nulegal is building an AI-first LegalTech company where humans handle thinking and decision-making while AI executes tasks. They seek someone experienced in developing complex systems, able to communicate effectively in a flat organization. Responsibilities include coding with AI, working across various technologies, and contributing to system architecture.

Expected flexibility in working hours and designing features collaboratively with a small team. Competitive salary and equity are offered to foster a sense of ownership.

Qualifications

• Proven experience in systems architecture and ownership.
• Ability to communicate ideas clearly and openly.
• Willingness to learn and adapt across varying technologies.

Responsibilities

• Work across the full platform utilizing multiple technology stacks.
• Automate workflows and internal tools efficiently.
• Contribute to the design and architecting of features.

Skills

Building complex systems

Strong communication

Generalist mindset

Coding with AI

Solution-oriented

Job description

We're building an AI-first LegalTech company where humans focus on thinking, systems, and decisions, and AI handles the bulk of execution.

We move fast, ship often, and operate with a high degree of ownership. There's no heavy hierarchy, no rigid roles, and no waiting for permission. If something is missing, we build it.

What you'll do

• You'll work across our full platform: React Native, React, TypeScript, Python, FastAPI, and more.
• Write specifications detailed enough that a teammate or an AI agent can implement them.
• Push back on ideas. We expect you to treat product decisions as your own.
• Automate everything that can be automated: internal tools, ops, QA, deploys, your own workflow.
• Carry the mental load of several tasks at the same time. AI does the coding; you do the thinking and review.

How we code

• We write all code with AI. Writing it by hand isn't fast enough for us.
• Our coding velocity is very high. We ship multiple big features every week or two.
• Humans design and architect features. AI writes the rest.
• All code reviews require human approval.

Who we're looking for

• Strong hands-on experience building and architecting complex systems. You've owned non-trivial systems end-to-end.
• A communicator. You can present ideas, defend them, change your mind on good input, and write things down clearly.
• A generalist mindset. We hire on willingness to learn whatever is needed. Your current stack doesn't have to be ours. Specialists are welcome if they're willing to stretch.
• Willing to code with AI by default. Prior experience isn't required. You'll demonstrate it on the test day.
• Comfortable in a flat structure. You won't have a PM filtering your work, an architect handing you a design, or a manager turning problems into tickets.
• Bias toward solutions. If something is missing, build it.

What to expect

• This is not a 9-to-6 job. The load is uneven, and overtime can come at any time.
• We are a small team. We don't have a large engineering org or an internal platform team.
• Roles overlap. Designers and non-engineers write code, and engineers do product work. If that doesn't suit you, this isn't the place.
• Specs and priorities change. Anything in your queue today can be different next week.
• Direct feedback is the norm. It goes both ways.

Stack

Where and how we work

• Berlin or Potsdam.
• Working language is English.
• Plus 1 month per year work from anywhere.

Compensation

• Salary is competitive.
• Equity is above average for a German startup, on purpose. We want engineers who feel like owners.
• Intro call (~30 minutes). First impressions on both sides; we decide if it's worth continuing.
• CTO interview (~1 hour). Can get technical, no live coding. We want to see how you think, design, and argue.
• Test day. About half a day in the office with the team, working on a real task. Not a toy exercise. This is where we see how you use AI tooling on real work.