ai engineer (m/f/d)

(junior) fullstack engineer (m/f/d) for a new product Jobs in Berlin

founding software engineer (backend, cloud & ai infrastructure) Jobs in Berlin

full stack engineer

senior product engineer

product engineer full stack agentic ai

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
Join a lean, high-impact engineering team at a Series A PropTech startup building agentic AI systems that observe, decide, and act on real-world property operations &mdash; with humans in the loop. This is a full-stack, end-to-end ownership role: you'll modernize legacy systems, design autonomous workflows, and turn messy operational processes into clean, production-ready software. If you thrive in small teams, think like a founder, and want your work to matter immediately, this role is for you.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own features end-to-end, learning the business deeply enough to drive solutions independently.</li><li>
Design and build agentic AI workflows for guest communication (chat and voice), operational decisions, and property management tasks.</li><li>
Modernize legacy systems and redesign data structures to meet evolving product requirements.</li><li>
Shadow real operational workflows to uncover inefficiencies, workarounds, and hidden steps &mdash; then turn them into reliable software.</li><li>
Scope, ship, and iterate on problems rather than just working through a ticket queue.</li><li>
Collaborate closely with internal teams to align product and engineering direction.</li><li>
Operate with high agency and ownership, delivering results rapidly and safely.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Required:<ul><li>
Demonstrable engineering experience you can showcase during the hiring process.</li><li>
Strong proficiency in TypeScript and React for full-stack development.</li><li>
Fluent spoken and written English with excellent communication skills &mdash; including asking the right questions to unblock work.</li><li>
Proven track record of shipping quickly while exercising sound judgment about acceptable trade-offs.</li><li>
Ability to self-manage: plan work, communicate progress, and flag blockers proactively.</li><li>
Comfort working in an agentic engineering style (e.g., running multiple AI coding agents and terminals in parallel).</li><li>
Familiarity with Express, PostgreSQL, MongoDB, and AWS; experience with Linear and Notion for tracking and documentation.</li><li>
Strong product taste &mdash; attention to user experience down to messaging and interaction wording.</li><li>
Willingness to relocate to Berlin, Germany and work from the office regularly.</li><li>
Eligibility to work in Germany without visa sponsorship (sponsorship is not available).</li></ul>
Nice to Have:<ul><li>
Experience with agentic AI or AI agent systems.</li><li>
Prior startup experience or a founder mentality.</li><li>
Background in hospitality or PropTech domains.</li><li>
Strong product sense and product-minded approach to engineering.</li></ul><h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3><ul><li>
Salary: $90,000 &ndash; $110,000 USD annually</li><li>
Small, accountable team focused on outcomes over meetings</li><li>
High-impact work in a fast-growing AI-native platform</li><li>
On-site role in Berlin with a collaborative, startup environment</li></ul><h3 class="jobSectionHeader">
Location</h3>
This is an on-site role based in Berlin, Germany. Candidates must be willing to relocate to Berlin and work from the office regularly. Visa sponsorship is not available &mdash; candidates must already be eligible to work in Germany.</div>

Product Engineer (Full-Stack / Agentic AI)

BIT Capital

<div>
 
 
 Your role &amp; How we work
 
 
 
 
 
 
 We are hiring an AI Engineer (m/f/d) to holistically develop BIT Capital's LLM and agentic Artifical Intelligence capabilities: from the data science that turns data into investment signals, to the engineering that powers our financial intelligence agents. A strong initial focus is the build-out of &ldquo;Aion&rdquo; - our agentic research platform - that has first-class access to our data, models, and tools and is already in mainstream production, used by the investment team every day. Beyond, your mandate covers everything LLM- and agent-related across BIT, from research products for the investment team to internal tools in Sales, Marketing, Operations, and client-facing experiences.
 
 
 
 
 
 You work autonomously, from first scoping to shipping, and you self-select the use cases and projects where you can have the most impact. You report to our Carlos Bielsa (Chief AI Officer &amp; Managing Partner) and work side by side with Vlad Gheorghe, our second AI Engineer, acting as our internal expert as the frontier of AI moves. Our stack is Python, SQL, AWS, and Databricks, with models and agentic frameworks from the leading AI labs (Anthropic Managed Agents, Codex).
 
 
 
 
 
 Your priorities in this role will thus include:
 
 <ul>
 <li>
 
 Investment signal pipelines.
 
 Design and ship LLM-based extraction pipelines (prompts, retrieval, model selection, evaluations) that turn text and data into investment scores, alerts, signals, and insights reliable enough to drive decisions.
 </li>
 <li>
 
 Agentic systems behind &ldquo;Aion&rdquo;.
 
 Build and evolve the agentic systems that power Aion, along with the research skills and Python sidecars that agents execute.
 </li>
 <li>
 
 Data and tool integrations.
 
 Build the integrations that give agents performant, safe access to BIT's data and capabilities.
 </li>
 <li>
 
 Evaluations and model selection.
 
 Build automated and human-in-the-loop evaluations, regression tests, and monitoring that track accuracy, hallucination rates, latency, cost, and model uncertainty. Benchmark and select the right model per task, including open-source options.
 </li>
 <li>
 
 LLMOps at scale.
 
 Establish the LLMOps practices that keep these systems reliable at scale: versioning of prompts, configs, and models; CI/CD; error handling; fallbacks; and cost control.
 </li>
 <li>
 
 Frontier into production.
 
 Stay at the frontier of LLM and agentic AI techniques and bring new ideas into production rather than leaving them as experiments.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 The experience you bring
 
 
 <ul>
 <li>
 You have a solid data science and engineering background, with at least 2 years building software, data systems, or ML in production.
 </li>
 <li>
 You adopt the mindset of a product-minded software engineer. You have shipped your own apps and agents and can point us to a public project, repo, or product.
 </li>
 <li>
 You are fluent with the current LLM and agentic frontier, with hands-on experience using leading agentic systems (Claude Code, Anthropic Managed Agents, Codex, open-source agentic loops).
 </li>
 <li>
 You have strong Python and SQL skills with clean engineering practices, plus cloud infrastructure experience (AWS strongly preferred).
 </li>
 <li>
 You bring production discipline for probabilistic systems: evaluations, regression tests, monitoring, reproducibility, and cost awareness. A scientific approach to turning LLMs into signals and scores (ground-truth datasets, train/test/iterate) is a plus; a data science or ML background helps but is not required.
 </li>
 <li>
 You have a genuine interest in investing, or at minimum a strong drive to learn about our domain quickly and deeply, paired with sharp general intelligence and clear systems thinking.
 </li>
 </ul>
 
 
 
 
 
 2 reasons why you should not apply
 
 
 <ul>
 <li>
 You mainly use AI tools for your own productivity and have not yet taken systems into production. This role is about building and shipping AI that the whole firm relies on, so prior production experience matters here.
 </li>
 <li>
 You are looking for a finished, stable AI stack to operate and maintain. Our systems evolve quickly as the frontier moves, so you will spend much of your time building and reshaping them rather than keeping a fixed setup running.
 </li>
 </ul>
 
 
 
 
 
 Your mindset
 
 
 <ul>
 <li>
 You're an "AI Native": you use agentic AI as core infrastructure in how you work, not as a novelty.
 </li>
 <li>
 You're a "Builder": you ship working systems and improve them continuously rather than leaving ideas as experiments.
 </li>
 <li>
 You blend data science rigor with engineering pragmatism, with care for correctness, reliability, and cost.
 </li>
 <li>
 You're passionate about AI, emerging technology, and investing, and you pair technical depth with strong product judgment.
 </li>
 <li>
 You manage for outcomes, own problems end-to-end, and communicate clearly on progress, tradeoffs, and risk.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Work at the frontier of applied AI in asset management, with petabytes of data and the most cutting-edge tools.
 </li>
 <li>
 Real technical direction and ownership from day one, as the internal expert while the frontier moves.
 </li>
 <li>
 Contribute to a unique success story in European asset management, surrounded by the most knowledgeable experts in the industry.
 </li>
 <li>
 A motivated, highly international team (15 nationalities) that enjoys getting together in person in Berlin and strongly supports each other.
 </li>
 <li>
 Flat hierarchies and direct interaction with our management team.
 </li>
 <li>
 Competitive compensation, relocation, and visa support if needed.
 </li>
 </ul>
 
 
 
</div>

AI Engineer (m/f/d)

Stackgini

<div>
 
 At Stackgini we are turning business ideas into technology impact.
 
 
 
 In most large companies this journey is broken. A good idea lands in an IT organization that runs hundreds of applications, and nobody can tell you quickly what already exists, what is redundant or what to buy. So decisions happen in spreadsheets and gut feeling, and ideas wait.
 
 
 
 We are changing that. Our platform understands the enterprise application landscape bottom-up, from individual demands to full portfolio interdependencies, and reasons about it the way the best human experts do, just at machine scale. Our vision: enterprise IT that is self-governing and self-optimizing. No longer a bottleneck, but the engine of innovation.
 
 
 
 We are 11 people, and we build this with Siemens Healthineers, REWE, SAP, DATEV, Danaher and other leading enterprises including even more DAX 40 and Fortune 500 companies. We have thousands of users and process very large IT landscapes, one of our customers even exceeds 11,000 applications. At this size there is no hiding. What you ship goes to customers fast, and the people who join now set the standard for the product, the culture and the category.
 
 
 Tasks
 
 
 
 The role
 
 
 
 
 A Product Engineer at Stackgini owns features end to end. You take a customer problem, scope it with Product &amp; CSM, design the solution, build it across the stack, ship it, and stay close to it after release. Recent examples: Product Engineers shipped Decisions and Approvals (a feature for routing IT requests through multi-step approval workflows), built evaluation infrastructure to benchmark agent recommendations against expert baselines, and agentic IT solutions research with our inhouse developed agent tool-use.
 
 
 
 You are close to users. You join customer calls, run user tests, read support context, and you use that input to decide what should exist and how it should behave. The person building the feature is expected to shape the feature.
 
 
 
 We have more good ideas than hands. For most reasonable feature ideas the question is not whether we build them, but when. Product Engineers are the people who turn that prioritization into shipped product quickly, without lowering the bar.
 
 
 
 
 The AI work
 
 
 
 
 AI is core to our product, but we don't run agents for everything. We use them where they create real value. For that we built our own LLM harness from hard-earned production experience: maximum freedom for the model, without compromising on enterprise control, governance or EU data residency.
 
 
 
 What this means for you: you work hands-on with these new technologies, you run evals instead of trusting demos, and you know how to put this stuff into production reliably. Agent output gets benchmarked against expert-curated baselines, and failure modes get named, measured and fixed. If you are obsessed with how AI systems behave, fail and improve, this is the place for you.
 
 
 
 
 How we ship
 
 
 
 <ul>
 
 <li>
 Small teams of 2 to 3 engineers around a topic. We deploy continuously to production.
 </li>
 
 <li>
 We use AI tools heavily, and you have freedom in which ones (e.g. Cursor, Claude, Codex). Around that we run a strong operating system: clear ticket context, focused branches, AI review before human review, screenshots or videos for product changes, manual product testing before release, production verification after.
 </li>
 
 <li>
 The engineer who ships a change owns it in production. If something breaks, you lead the fix.
 </li>
 
 </ul>
 
 Requirements
 
 
 
 What we need from you
 
 
 
 
 Nobody at 11 people knows everything. We hire people who dive in and own outcomes.
 
 
 <ul>
 
 <li>
 3 to 6 years of full-stack experience shipping production software people actually use.
 </li>
 
 <li>
 You can get productive in our stack fast: Kotlin/Spring Boot and Python on the backend, TypeScript/React on the frontend. You don't need to know all of it on day one, but you should get into it quickly.
 </li>
 
 <li>
 You have shipped agentic systems, side projects absolutely count. You think in tools, context and evals, not just prompts.
 </li>
 
 <li>
 Fluent English. German is a real plus because many customer calls run in German. We pair you with a German-speaking teammate when needed, but German gets you closer to users faster.
 </li>
 
 </ul>
 
 
 
 You'll stand out if
 
 
 
 <ul>
 
 <li>
 You build with AI natively, not as an afterthought.
 </li>
 
 <li>
 You can take a vague problem to a shipped feature. You scope, decide, implement, test and iterate.
 </li>
 
 <li>
 You want to understand why people behave the way they do, and you use that understanding to make product decisions.
 </li>
 
 <li>
 You have high standards for yourself and move fast without needing to be pushed. B2B SaaS or startup experience is a plus.
 </li>
 
 </ul>
 
 
 
 Our stack
 
 
 
 
 Kotlin (Spring Boot) &amp; Python &middot; TypeScript (React/Next.js) &middot; PostgreSQL &middot; AWS (Fargate, ECS) &amp; Terraform &middot; GitHub Actions &middot; Azure (OpenAI) &middot; AWS (Bedrock)
 
 
 Benefits
 
 
 
 Working here
 
 
 
 
 We work from our office in Berlin (hybrid, but most engineering happens in-person). The team spends free-time together several times a month, shares lunch, and works closely on hard problems. No politics, no long meetings - we move fast and make decisions at the whiteboard. You'll be one of 11 people, which means your work ships to customers within days, not quarters.
 
 
 
 
 Benefits
 
 
 
 <ul>
 
 <li>
 Attractive compensation package including employee stock options
 </li>
 
 <li>
 Hybrid work with a modern office in Berlin
 </li>
 
 <li>
 30 days of vacation and day off on your birthday
 </li>
 
 <li>
 Budget for self-improvement and dedicated time for learning &amp; innovation
 </li>
 
 <li>
 Home-office allowance, Deutschlandticket, gym pass
 </li>
 
 <li>
 The best popcorn in town
 </li>
 
 </ul>
 
 
 Ready to make an impact? Join us at Stackgini and be part of something extraordinary!
 
</div>

Product Engineer (m/f/d)

GTM Base

<div>RevOps is changing fast, and so is the way GTM processes get built and maintained inside the CRM. This role puts you on the front edge of it: forward-deployed in our clients' RevOps teams, building and running their GTM systems in a genuinely AI-first environment.

GTMBase is an AI-first GTM engineering and RevOps agency. We help post-PMF B2B companies (&euro;8M to &euro;50M ARR, 5+ reps) whose go-to-market is over-performing their systems. Reps do manually what should be automated, sales and marketing data doesn't connect, and leadership can't trust the reporting.

We combine strategic GTM thinking with hands-on technical build, and we fix the foundation before running campaigns.

We deliver across Four Pillars:
<div>
<ul><li>Data Foundation: list building and enrichment so reps win with better data (Clay, Apollo, custom scrapers, AI research)</li></ul>
<ul><li>RevOps &amp; CRM: building the right GTM process inside the client's CRM, including architecture, lifecycle, pipelines, routing, and reporting (HubSpot, Salesforce)</li></ul>
<ul><li>Agentic Workflows: building agentic GTM workflows with Anthropic Managed Agents and Hermes, getting the org ready for Agentic GTM</li></ul>
<ul><li>GTM Strategy &amp; Plays: recommending and executing the highest-impact campaigns</li></ul>
</div>
We've done this for clients including Groupon, Blinkist, Booksy, and Sendify. We work in small pods, with a Strategist, a CRM Architect, and a GTM Engineer.
<h2 class="jobSectionHeader">
How We Operate</h2>

We run the company on Claude Code. It's our operating system: client context, playbooks, automations, and delivery all live in it, and AI is the default way we work rather than a bolt-on. You'll work this way too, and get very good at it.
<h2 class="jobSectionHeader">
Why This Role Matters</h2>

You're the person who turns our GTM strategy into a CRM that actually works. Most clients run their entire revenue motion on HubSpot or Salesforce, and the quality of that system runs through this role: how clean the data is, how well leads route, whether leadership can trust the reporting.

Here, &quot;Architect&quot; means architecting inside the CRM: the object model, pipelines, workflows, and automations. The GTM and revenue strategy is set with you in your pod, not by you alone, and you build it with real craft.

You're forward-deployed: you embed with clients' RevOps and sales teams and build inside their live CRM.
<h2 class="jobSectionHeader">
The Role</h2>

You'll build and maintain GTM process and automation inside our clients' CRMs, mostly HubSpot. Working from the direction set in your pod, you turn requirements into a clean, well-built system the sales team can rely on.

One week you're building a client's lead lifecycle and routing. The next you're debugging a broken automation, untangling duplicate deals, or shipping a dashboard a CRO asked for. You move across several client instances at once without dropping threads.

You're a builder with an admin's discipline. You know the object model, not just the UI. You sweat the details others miss, you test before you ship, and you document what you build so the rest of the pod can run it. When something breaks, you find the root cause and fix it properly.
<h2 class="jobSectionHeader">
How This Differs From a GTM Engineer</h2>

Your pod is you (CRM Architect), a Strategist who sets direction and hands you requirements, and a GTM Engineer. You and the GTM Engineer are both builders, but you own different layers:
<ul>
<li>You (CRM Architect, Pillar 2): the GTM process inside the CRM. HubSpot/Salesforce architecture, lifecycle, routing, deal logic, automation, reporting, data integrity. You live in HubSpot, Salesforce, Operations Hub, and n8n.</li>
<li>GTM Engineer (Pillar 1): the data layer. Enrichment, scraping, signal detection, list building, custom research agents. They live in Clay, Apify, custom scrapers, and data APIs.</li>
</ul>
Think of it as the data into the CRM (GTM Engineer) versus the system it lands in and the process the sales team runs on (you). You don't need to be a Clay or Apify expert. You just need a solid working understanding of what a GTM Engineer does, enough to spec what you need, integrate their output cleanly, and know what's possible.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<ul><li>Architect and build in client HubSpot instances: information architecture (objects, associations, lifecycle stages, pipeline structure), workflows, deal logic, lead scoring, routing, properties, and permissions</li>
<li>Build and debug automations across the GTM stack: HubSpot workflows, n8n, APIs, and webhooks. When an automation breaks, you find the root cause rather than just toggling features</li>
<li>Guard data integrity: deduplication, field validation, association hygiene, and import discipline so reporting and forecasting can be trusted</li>
<li>Build the reporting leadership relies on: pipeline coverage and velocity, stage-by-stage conversion, and full-funnel dashboards. You know where HubSpot's platform and paywall limits force a different approach</li>
<li>Design integrations and data flows between HubSpot and the rest of the stack (Clay, Aircall, telephony, billing, enrichment pipelines)</li>
<li>Turn requirements into working builds: take a brief like a 15-minute lead-response SLA and ship the routing system that delivers it</li>
<li>Keep multiple client instances healthy at once, with fast turnaround and nothing falling through the cracks</li>
<li>Work client-facing: you can talk through a data question with a technical lead and walk a frustrated AE through a new flow in the same afternoon</li>
<li>Codify what works into our library of reusable plays and patterns, so every client build sharpens the whole team</li>
</ul><h2 class="jobSectionHeader">What We're Looking For</h2>

Must-have
<ul>
<li>Deep HubSpot expertise: hands-on across Sales, Marketing, Service, and Operations Hubs. You know HubSpot well enough to know what is and isn't possible at the platform level, and to choose native functionality over a workaround when it's the right call.</li>
<li>Strong CRM and RevOps fundamentals: lead lifecycle and qualification, routing and assignment, pipeline and deal-stage setup, the data model, and the governance that keeps it clean.</li>
<li>An admin's discipline: precise, reliable, and detail-obsessed. You test before you ship, you keep data clean, and you don't let things fall through the cracks.</li>
<li>A builder's instinct: you build workflows and integrations, debug them when they break, and aren't intimidated by APIs, webhooks, or a tool you haven't used yet.</li>
<li>AI-first, and we mean it literally: AI is your default operating mode, not a novelty. Your first move on a problem is to reach for an agent, a prompt, or a workflow before a manual process. If you're not already using AI tools daily, this isn't the right fit. (If your CRM fundamentals are deep but your GTM-tooling experience like Clay or Claude Code is light, that part is learnable and we'll back you on it. The fundamentals and the AI-first instinct are not.)</li>
<li>Forward-deployed temperament: comfortable building across multiple clients in parallel, client-facing, proactive, and able to move fast without waiting for perfect requirements.</li>
<li>Full-time availability with reliable overlap to CET hours.</li>
</ul>
Nice-to-have
<ul>
<li>Salesforce: admin or build experience, especially HubSpot to Salesforce sync and migrations (relevant to Groupon and enterprise work)</li>
<li>A working understanding of the GTM Engineer's toolkit: Clay, Apify, enrichment providers (ZoomInfo, Apollo, Clearbit), scraping. Enough to collaborate, spec, and integrate. Your pod's GTM Engineer owns the deep builds.</li>
<li>n8n orchestration and custom API integrations</li>
<li>Scripting (Python, SQL, or JavaScript) for data manipulation and custom connectors</li>
<li>German: a good chunk of our client base is DACH</li>
<li>HubSpot certifications: a plus, never a gate. Demonstrated depth matters more.</li>
</ul><h2 class="jobSectionHeader">What You'll Get</h2>
<ul><li>Real client build work from day one, with no busy work and no hand-holding</li>
<li>A front-row seat in a genuinely AI-first environment: Claude Code as the operating system, Clay, and the full modern GTM stack</li>
<li>Direct collaboration with one of the most experienced RevOps leaders in Europe</li>
<li>Exposure to a wide range of B2B companies, stacks, and GTM problems</li>
<li>A seat at the table in a growing practice, not a cog in a machine</li></ul></div>

Forward-Deployed CRM Architect

Chapter 2

<div>Chapter 2 is partnering exclusively with a leading digital health startup at the forefront of AI-enabled cardiac telemonitoring. Working with institutions including Charit&eacute;, Mayo Clinic, and UCSF, they are building technology that detects early signs of heart failure deterioration and improves patient outcomes at scale.
They are looking for a Full Stack Engineer to join a small, high-ownership team and take end-to-end responsibility for significant product projects across their AI-enabled platform.
The Role
You will work closely with the Product Lead to scope, build, and ship substantial features across the full stack, from physician and patient interfaces on the frontend to APIs, data modelling, and ML integration on the backend. You won't be handed tickets. You'll shape projects from concept through to post-launch iteration, lead a small squad of engineers, and collaborate directly with clinical partners, sales, and founders.
What You'll Need<ul><li>
M.Sc. in a STEM field with 2+ years of full-stack experience, or 4+ years without</li><li>
Strong Python on the backend, TypeScript/React on the frontend</li><li>
A product and user-focused mindset, you care about UX and make design decisions, not just implementation decisions</li><li>
Comfort operating with high autonomy in a small team</li><li>
Fluent English</li></ul>
Nice to Have<ul><li>
Experience with ML/data pipelines, audio/signal processing, or clinical data</li><li>
Background in regulated software (MDR, ISO 13485, IEC 62304) or healthcare products</li><li>
DevOps and cloud infrastructure experience (GCP, CI/CD)</li><li>
German language skills</li></ul>
What's on Offer<ul><li>
Competitive compensation package with meaningful equity</li><li>
A mission that matters, technology with direct impact on patient outcomes</li><li>
A Berlin-Mitte office and a team built from some of the best engineering and clinical minds in digital health</li><li>
Urban Sports Club membership</li></ul>
If you are a full-stack engineer who wants to own real product work in a clinical environment that is genuinely changing how heart disease is managed, we'd like to hear from you.</div>

Full Stack Engineer

Wolters Kluwer

<div>As a Senior Full Stack Engineer (m/f/d) , you will be working for our Legal &amp; Regulatory division where we help legal and compliance professionals enhance productivity, mitigate risk, and solve complex problems confidently. 
There are hundreds of thousands of lawyers across Europe &mdash; and at Libra, we&rsquo;re transforming how they work. Our AI platform combines deep legal reasoning with cutting-edge generative technology, fundamentally changing how lawyers research, draft, and deliver legal work. 
About the role
We are looking for exceptional engineers to join our fast-growing team automating knowledge work for legal professionals. As a Full Stack Engineer, you&rsquo;ll play a central role in developing our product and have high impact and ownership over key product features. You&rsquo;ll work end-to-end across the stack, contributing to both backend and frontend development in a lean, agile environment.
This is a unique opportunity to shape the future of legal tech by building intelligent, scalable solutions that empower professionals and transform workflows. 
In your role you&rsquo;ll be part of high skilled technology organization and a fast growing product organization. An ambitious and thrilling place to be as you&rsquo;ll be essential to both strategic alignment and local execution. You&rsquo;ll be working at the vibrant Merantix AI Campus in Berlin, surrounded by a community of AI innovators. We value collaboration, curiosity, and a bias toward action. 
What you&rsquo;ll do:<ul><li>
Design, implement, and maintain product features across the stack&mdash;from backend APIs to frontend interfaces.</li><li>
Collaborate closely with product and design teams to deliver intuitive, high-performing user experiences.</li><li>
Ensure code quality, security, and scalability through best practices and thoughtful architecture.</li><li>
Contribute to technical decision-making and help shape the engineering culture.</li><li>
Explore and integrate AI tools and agents to enhance developer productivity and product capabilities.</li></ul> 
What you&rsquo;ll bring: 
Education<ul><li>
Bachelor's degree preferred in Computer Science or Software Engineering or similar disciplines.</li></ul> 
Experience<ul><li>
Minimum 4 years of relevant experience working within product software engineering.</li><li>
Strong experience with Python, particularly FastAPI and asynchronous programming.</li><li>
Solid proficiency in TypeScript; experience with Svelte is a strong plus.</li><li>
Familiarity with software engineering best practices and security principles.</li><li>
Experience using AI coding agents like Cursor or Claude Code.</li><li>
Bonus: You&rsquo;ve built or contributed to LLM-powered products.</li></ul> 
Skills<ul><li>
Entrepreneurial mindset with strong ownership and urgency.</li><li>
A pragmatic approach to problem solving. It&rsquo;s more important to you to solve the problem than to use new/hyped technology.</li><li>
Accountability and commitment to high-quality outcomes.</li><li>
Excellent communication in English; German is a plus.</li></ul> 
Working together
This is a hybrid role, where you will spend at least eight days a month at our office, where you'll enjoy the benefits of connecting and collaborating with your colleagues in person. 
What we offer<ul><li>
Permanent employment from day one.</li><li>
Remote work &amp; flexibility: Work remotely up to 3 days per week (home office) (= 8 days a month in the office) with flexible working hours.</li><li>
Work abroad flexibly: Work from anywhere within the EU for up to 20 days within a twelve-month period.</li><li>
Rest &amp; time off: 26 vacation days.</li><li>
Show your commitment: 1 additional day off per year for your volunteer work (Volunteer Day).</li><li>
Support for development: E-learning via LinkedIn, online language training with goFluent, and other training and development opportunities.</li></ul> 
In just over a year, we&rsquo;ve established ourselves as Europe&rsquo;s fastest-growing legal AI company by partnering with leading law firms, corporate legal departments, and publishers, As part of Wolters Kluwer&rsquo;s Legal &amp; Regulatory Division, Libra is building the operating system for modern legal work &mdash; and you can help us write its next chapter.
#LI-Hybrid
<h2 class="jobSectionHeader">Our Interview Practices</h2>
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we&rsquo;re getting to know you&mdash;not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</div>

Senior Full Stack Engineer (Libra - Legal AI Assistant) (m/f/d)

Getsafe GmbH

<div><h4 class="jobSectionHeader">Building insurance people actually love</h4>
Getsafe guides people to make smart life choices with personalized digital insurance. 
 
We&rsquo;re reinventing insurance from the ground up: with our own tech platform and a single app that unites property, life, and health coverage in one seamless experience. Features like family accounts, AI-powered guidance, instant claims handling, and our prevention program &ldquo;Safepoints&rdquo; make insurance simple, transparent, and built for today.<div> 
Since our launch in 2018, we&rsquo;ve grown from our headquarters in Heidelberg and office in Berlin to serving more than 500,000 customers across Germany, Austria, and France. Backed by &euro;120M from leading investors such as Earlybird, CommerzVentures, and Swiss Re, we&rsquo;ve become one of Europe&rsquo;s fastest-growing insurtechs.</div> 
Learn more about us on our Website, Instagram or on LinkedIn.<h4 class="jobSectionHeader"> 
What we're looking for</h4>
We are seeking an experienced Senior Backend Engineer to join our growth team. Our growth team&rsquo;s mission is to keep our customers and operations teams happy by building the Insurance Platform parts used for insurance product launches, policy administration, marketing and sales.
In this role, you will work on backend features of our insurance platform while also contributing to internal tools and automation that improve efficiency for engineering and other teams across the company. This includes building systems and emerging agentic tooling that streamline workflows, reduce operational overhead, and enable teams to move faster.<h4 class="jobSectionHeader"> 
What you will do</h4><ul><li>
Collaborate with the team and stakeholders to define and implement the vision for a scalable system architecture for our insurance platform that supports our growing portfolio and customer base.</li><li>
Own and contribute to our evolving list of internal tools starting with Ruby libraries and agentic tools in engineering and beyond.</li><li>
Write clean, maintainable, and well-documented code that promotes best practices and enables others.</li><li>
Explore and propose new technologies to streamline processes and improve system efficiency.</li><li>
Champion engineering best practices and help elevate our tech stack to the next level, setting standards for the organization.</li><li>
Create reusable solutions that help teams scale faster and avoid one-off workarounds.</li></ul><h4 class="jobSectionHeader"> 
What you bring</h4><ul><li>
Experience: 5+ years of backend development experience, working on complex systems and platform solutions.</li><li>
Strong passion for building, maintaining, and improving platform tooling, libraries, solutions, and processes that empower multiple engineering teams and enhance the overall developer experience.</li><li>
Ruby on Rails: Solid experience with Ruby on Rails and a deep understanding of how to develop high-quality, reliable software.</li><li>
Agentic Engineering: Good understanding of working with coding agents from planning to delivery.</li><li>
Collaboration: Strong communicator, able to work across teams and translate technical vision into actionable plans.</li><li>
Problem-Solving: You can break down complex problems into manageable parts and communicate solutions clearly to your team and other stakeholders.</li><li>
Quality-Driven: Commitment to delivering solutions that are well-tested, reliable, and maintainable.</li><li>
Experience with Terraform, Kubernetes and AWS is a plus.</li><li>
Proven experience in fintech environments or startups is a plus.</li></ul><h4 class="jobSectionHeader"> 
Our stack</h4><ul><li>
Distributed architecture of 10+ independent RESTful services</li><li>
Ruby on Rails</li><li>
PostgreSQL, Kafka, Sidekiq, Redis</li><li>
Terraform, Qovery (Kubernetes) and AWS</li><li>
Datadog</li></ul><h4 class="jobSectionHeader"> 
How we work</h4><div>
Customer Empathy 
We simplify insurance by aligning our vision with every interaction, maintaining transparency, and building togetherness and trust with our customers.</div><div></div><div> 
Absolute Ownership 
We pursue excellence relentlessly, taking full ownership, and ensuring everyone knows their role to contribute to our mission.</div><div></div><div> 
Day One Mindset 
We strive to continually act as pacemakers, constantly optimising, thinking ahead, and inspiring greatness to build a scalable and impactful future.</div><div></div> 
Driver Team 
We communicate effectively, collaborate positively, and drive success as equals, united by respect and an inspiring mission.<h4 class="jobSectionHeader"> 
What we offer</h4><ul><li>
Front row seat at one of Europe&rsquo;s leading insurtechs that redefines how millions of people experience insurance every day</li><li><div>
Diverse and high-performing team that thrives on ownership, speed, and constantly raising the bar</div></li><li><div>
Hybrid or on-site setup across our hubs in Heidelberg (Europaplatz) and Berlin (Eberswalder Stra&szlig;e)</div></li><li><div>
Competitive salary plus company-wide VSOP program</div></li><li><div>
Claude Max and the latest hardware and productivity tools</div></li><li><div>
&euro;1,000 annual development budget</div></li><li><div>
&euro;50 monthly benefit budget</div></li><li><div>
Monthly Getsafe insurance voucher</div></li><li><div>
28 vacation days plus birthday and December 24th &amp; 31st off</div></li><li><div>
90 workation days within the EU</div></li></ul> 
We're looking for great people, not perfect r&eacute;sum&eacute;s. If you're excited about what we're building and think you could make a great addition to the team, we encourage you to apply &ndash; even if you don't meet every single requirement. We'd love to hear from you! 
 
We welcome applications from people of all backgrounds, experiences, and perspectives. We believe diverse teams build better products and are committed to creating an inclusive environment where everyone can thrive. We do not discriminate based on race, religion, colour, national origin, gender identity or expression, sexual orientation, age, disability, or any other legally protected characteristics.</div>

Senior Backend Engineer (m/f/d)

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