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manufacturing solution engineer ai startup

ALMETRA

<div>At Deltia, we&rsquo;re on a mission to reinvent how factories work.
We help manufacturers - one of the most essential and overlooked sectors of our economy - run better. Every car, wind turbine, medical device, and washing machine comes from a factory. But factories today are running out of people. They struggle with efficiency, safety, and quality - and they desperately need better tools to understand what&rsquo;s happening on the shop floor.
That&rsquo;s where we come in. Deltia builds AI-powered computer vision systems that give manufacturers deep visibility into how their production lines actually run - and the insights to improve them. We don&rsquo;t sell ads or marketing software. We help real factories solve real problems.
As a Solution Engineer, you&rsquo;ll bridge two worlds: deep operational expertise and cutting-edge AI. You&rsquo;ll work directly with our SDRs, AEs, and our Improvement team to land new customers, expand existing ones, and ensure every deployment delivers measurable impact.
If you&rsquo;ve worked in Continuous Improvement, Lean, or operational excellence, and you want to apply that expertise in a fast-moving tech company then this role is for you.
Why join us<ul><li>
Impact that matters. You&rsquo;ll help manufacturers solve real operational problems, not just implement software.</li><li>
Shape the future of industrial AI. Your domain knowledge will directly influence product evolution and customer outcomes.</li><li>
Cross-functional seat at the table. You&rsquo;ll partner with Sales, Product, and Engineering to make deals successful and scalable.</li><li>
Career acceleration. You&rsquo;ll become an expert at translating factory processes into AI-powered improvements across global customers.</li></ul><h2 class="jobSectionHeader">
What you&rsquo;ll do</h2><ul><li>
Partner with Sales to win deals by bringing credibility in operations, CI, and Lean.</li><li>
Lead discovery sessions to understand current processes, bottlenecks, and improvement opportunities.</li><li>
Translate real-world factory workflows into clear use cases and value stories for prospects.</li><li>
Support pilots and deployments with the Improvement team to demonstrate measurable ROI.</li><li>
Build playbooks for value quantification, before-after analysis, and operational storytelling.</li><li>
Work with multiple stakeholders (ops, quality, engineering, production, CI, plant managers).</li><li>
Help expand existing customers by identifying new use cases and improvement pathways.</li><li>
Feed insights from the field back into Product to shape our roadmap.</li></ul><h2 class="jobSectionHeader">
What we&rsquo;re looking for</h2><ul><li>
3+ years in Continuous Improvement, Lean, Operational Excellence, digital transformation, or industrial engineering.</li><li>
Experience in manufacturing operations, either at a plant or as a consultant.</li><li>
Strong ability to analyze processes, identify bottlenecks, and quantify value.</li><li>
Comfortable with shop-floor environments and talking to operators, engineers, and plant leaders.</li><li>
Clear communicator who can explain complex processes simply and confidently.</li><li>
Ability to run discovery, map workflows, and build compelling business cases.</li><li>
Collaborative mindset and willingness to work closely with Sales, Product, and Engineering.</li><li>
Curious about AI, automation, and the future of manufacturing.</li></ul><h2 class="jobSectionHeader">
Bonus points</h2><ul><li>
Experience with time studies, MTM, value stream mapping, or OEE programs.</li><li>
Background supporting large-scale CI programs or Kaizen events.</li><li>
Familiarity with enterprise software deployments in industrial environments.</li><li>
Interest in turning CI knowledge into scalable, repeatable playbooks.</li><li>
Native German speaker</li></ul>
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul></div>

Manufacturing Solution Engineer (AI Startup)

NextexAI

<div>NexTex AI is a Berlin-based deep-tech startup building an AI-powered intelligence layer for textile manufacturing.

Our platform combines industrial cameras, retrofit sensors, PLC/SCADA signals, edge computing and artificial intelligence to detect textile defects, optimize production processes and generate sustainability KPIs for CSRD and EU Green Deal compliance.

We are currently preparing our EXIST Startup Grant application and a ProFIT Berlin R&amp;D funding application. Our goal is to build and validate an MVP with pilot textile manufacturers during the first year and scale into one of Europe's leading industrial AI platforms for textile production.

We are looking for a Founding Software Engineer who wants to join the founding team and help build the technical backbone of the company from day one.
<h2 class="jobSectionHeader">
Tasks</h2>

As a Founding Software Engineer, you will be responsible for designing and building the backend systems, cloud infrastructure and AI deployment architecture behind NexTex AI.

You will work closely with the founders, machine learning engineers and future computer vision engineers to create a scalable edge-to-cloud platform for industrial AI applications.

Your responsibilities include:
<ul><li>Building cloud-native infrastructure and deployment pipelines</li></ul>
<ul><li>Designing and developing scalable backend services and APIs</li></ul>
<ul><li>Building dashboards, analytics systems and internal tools</li></ul>
<ul><li>Developing industrial data pipelines for machine, sensor and camera data</li></ul>
<ul><li>Supporting edge-to-cloud communication and industrial integrations</li></ul>
<ul><li>Supporting AI model deployment, monitoring and inference workflows</li></ul>
<ul><li>Structuring textile production data, defect classifications and sustainability KPIs</li></ul>
<ul><li>Working directly with pilot factories and industrial partners</li></ul>
<ul><li>Contributing to product architecture and technical strategy</li></ul>
<h2 class="jobSectionHeader">
Requirements</h2>

Strong software engineering background
<ul><li>Strong Python and C++ programming skills</li></ul>
<ul><li>Experience with FastAPI, Django, Flask, Node.js or similar frameworks</li></ul>
<ul><li>Experience with PostgreSQL or similar database systems</li></ul>
<ul><li>Experience with Docker and containerized environments</li></ul>
<ul><li>Experience with AWS, Azure or Google Cloud</li></ul>
<ul><li>Understanding of REST APIs and scalable software architectures</li></ul>
<ul><li>Fluent English</li></ul>
<ul><li>Ability to work independently in an early-stage startup environment</li></ul>

Preferred Qualifications
<ul><li>Located in Berlin or willing to relocate to Berlin</li></ul>
<ul><li>Professional working proficiency in German (prior work experience in a German-speaking environment preferred)</li></ul>
<ul><li>Experience with Computer Vision and Machine Learning systems (using frameworks such as PyTorch, TensorFlow or ONNX)</li></ul>
<ul><li>Experience with MLOps and model deployment pipelines</li></ul>
<ul><li>Experience with Edge AI deployments (NVIDIA Jetson, CUDA or TensorRT)</li></ul>
<ul><li>Experience with Industrial IoT, PLC/SCADA systems or manufacturing environments</li></ul>
<ul><li>Startup or founding-team experience</li></ul>
<ul><li>Interest in textile manufacturing, sustainability and Industry 4.0</li></ul>
<h2 class="jobSectionHeader">
Benefits</h2>
<ul><li>10% equity participation as a founding team member</li></ul>
<ul><li>Approx. &euro;2,500/month through the German Federal EXIST Startup Grant during the first year</li></ul>
<ul><li>Significant compensation increase planned following successful MVP validation and funding milestones</li></ul>
<ul><li>Opportunity to build a deep-tech startup from day one</li></ul>
<ul><li>Direct impact on product, technology and company strategy</li></ul>
<ul><li>Access to real industrial production environments and pilot textile factories</li></ul>
<ul><li>Work on AI, Computer Vision, Edge AI, Industrial IoT and Sustainability Intelligence</li></ul>
<ul><li>Direct collaboration with experienced founders, academic advisors and industry partners</li></ul>
<ul><li>Startup coaching, legal support and mentoring through EXIST and ProFIT Berlin</li></ul>
<ul><li>Opportunity to shape both the product and company from an early stage</li></ul>
<ul><li>Flexible working environment</li></ul>
<ul><li>Potential CTO-level growth opportunities as the company scales</li></ul>

We are looking for ambitious engineers who want to build something meaningful from the ground up. If you are excited about AI, industrial systems, sustainability and entrepreneurship, we would love to hear from you.

To apply, please submit:
<ul><li>Your CV</li></ul>
<ul><li>LinkedIn profile</li></ul>
<ul><li>A short introduction explaining why you are interested in joining NexTex AI</li></ul>

Selected candidates will be invited to:

1. Introductory discussion with the founders

2. Technical discussion and architecture review

3. Final founder meeting

If successful, you will join NexTex AI as a founding team member with 10% equity and play a key role in building the future of industrial AI for textile manufacturing.

We look forward to hearing from you.</div>

Founding Software Engineer (Backend, Cloud & AI Infrastructure)

Vanilla Steel GmbH

<div><h4 class="jobSectionHeader">Your mission</h4>
We are a Berlin-based startup transforming how industrial materials are bought and sold across Europe. One of the oldest industries in the world still runs on Excel, PDF and email. We are replacing that with AI that runs the buying and selling workflow end to end, increasing liquidity, speeding up transactions and reducing waste for hundreds of steel and metal distributors. 
 
We have strong early traction, real enterprise customers and committed investors. We are a lean, technical team scaling our enterprise pilots and building the AI infrastructure underneath them. 
 
Your job as Senior Product Engineer is to make sure we deliver on that traction and stay ahead. You partner closely with Co-founder Simon, who owns sales; you own that we ship, that enterprise customers succeed, and that the product stays in front. This is a senior, hands-on role with three pillars. 
 
1. Build and ship with AI 
<ul><li>
Ship production software using AI as a force multiplier &mdash; prototypes, integrations, customer-facing flows &mdash; and get them live, not just specified.</li><li>
Move our AI from assisting people to running the buying and selling workflow as autonomous agents.</li><li>
Integrate our pipeline deep into customer systems and ERPs (SAP, Odoo, Microsoft Dynamics), and design for fast onboarding so a new customer reaches value in days, not months.</li><li>
Our stack: Python, FastAPI, Pydantic AI, Pydantic Logfire, JavaScript/Node, React, GCP, Kubernetes. You won't be expected to master all of it on day one, but you should be comfortable navigating it with AI tooling.</li></ul>
2. Lead technical communication with enterprise customers 
<ul><li>
Own the technical relationship with three to five enterprise customers: run the discovery workshops, scope the work, run first-line UAT, and steer executive, procurement and IT conversations.</li><li>
Translate customer reality into clear build decisions and engineering reality into clear customer expectations. Hold the line on scope when a request will not move the metric that matters.</li><li>
Represent the product credibly to senior stakeholders, and to investors when a customer also sits on our cap table.</li></ul>
3. Help build the product org 
<ul><li>
Drive the shipping cadence: a weekly or biweekly release rhythm with engineering, and sequence delivery against engineering capacity with our Head of Tech.</li><li>
Make the strategic product calls &mdash; what we build next, and what we deliberately do not.</li><li>
As we scale enterprise customers, help grow how the team works and the product function around you.</li></ul><h4 class="jobSectionHeader">
Your profile</h4>
You are a builder who ships with AI and can run an enterprise customer relationship and help shape how we build. Two non-negotiables: technical capability and product sense. Everything else sits behind those. 
<ul><li>
Excellent written and verbal communication in English and in German (C1 or C2 must have, native not required). You can run a technical workshop with a German industrial customer end to end.</li><li>
Berlin-based or willing to relocate. The role also includes regular travel to customer sites in Central Germany (~2&ndash;3 days per month).</li><li>
5+ years building product, with at least 2 years in genuinely technical roles (engineering, technical PM at a real engineering company, solutions architect, forward-deployed engineer).</li><li>
Deep LLM/AI experience: you build and ship real software with LLMs and agents in production, not just prototype or chat with them. You can walk us through something you shipped and how you built it. Bonus if you have shipped an agentic or autonomous system.</li><li>
AI coding tools: you use Cursor, Claude Code or comparable as your primary development environment - not occasionally, but as the way you build. This is how you ship independently without engineering support.</li><li>
Strong technical instincts: you read code, evaluate an architecture, and hold your own in a design review with engineering.</li><li>
First-line UAT discipline: you have personally signed off (or rejected) enterprise releases and can describe the framework you used.</li><li>
Comfortable owning several enterprise customers in parallel without dropping balls, and pushing back on scope when needed.</li><li>
Able to simplify complexity and make fast, sound decisions under pressure.</li></ul>
Nice-to-have: background in an AI-first company; ERP integrations (SAP, Odoo, Microsoft Dynamics) or procurement / order-management workflows; early-stage or founding-engineer experience, industrial B2B, metals, supply chain or manufacturing experience.<h4 class="jobSectionHeader">
Why us?</h4><ul><li>
Ownership of named enterprise accounts, judged on outcomes rather than hours.</li><li>
Direct technical impact: you see what you ship in production within weeks.</li><li>
Senior co-founders who are technical operators, not pitch-deck founders. Decisions happen fast.</li><li>
Competitive base, performance bonus, and meaningful equity at a Series A company.</li><li>
Regular travel to customer sites (mainly Central Germany).</li><li>
Subsidised Urban Sports Club membership and Deutschlandticket.</li><li>
Hybrid work format, office in the heart of Prenzlauer Berg, Berlin.</li><li>
Regular team events, company breakfasts and Friday drinks.</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are a Berlin-based startup that has successfully established a leading digital-first trading company for industrial metals across Europe.
The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. Our mission is to integrate smart technology and data to drive every decision, transaction, and workflow in the steel industry. Our technologies &amp; services increase liquidity, accelerate transactions, reduce scrapping rates and enhance trading convenience for hundreds of steel and metal distributors across Europe.</div>

Senior Product Engineer

THRYVE

<div>
 
 
 Product Engineer (Full Stack/AI) Berlin | On-site/Hybrid
 
 
 
 
 
 
 We're partnering with an ambitious health-tech startup building AI-powered software that helps clinicians make better decisions and improve patient outcomes, working on one of the hardest and most meaningful challenges in healthcare: turning complex clinical data into products that help medical teams identify risk earlier, intervene faster, and ultimately improve lives.
 
 
 
 
 
 We're looking for a strong engineer who wants to own products, not tickets.
 
 
 
 
 
 You'll work across backend, frontend, AI integrations, and product strategy, taking features from idea to production. You'll collaborate directly with founders, designers, clinicians, and engineers to solve complex technical problems and ship software that genuinely matters.
 
 
 
 
 
 
 What You'll Work On
 
 
 <ul>
 <li>
 Building production-grade AI features and workflows
 </li>
 <li>
 Designing scalable backend systems and APIs in Python
 </li>
 <li>
 Developing modern React/TypeScript applications
 </li>
 <li>
 Integrating machine learning models into real-world products
 </li>
 <li>
 Working with complex, high-value healthcare data
 </li>
 <li>
 Improving reliability, observability, testing, and engineering quality across the platform
 </li>
 </ul>
 
 
 
 
 
 We're Looking For
 
 
 <ul>
 <li>
 Strong software engineering fundamentals
 </li>
 <li>
 Professional experience with Python and React/TypeScript
 </li>
 <li>
 Product-minded engineers who enjoy understanding user problems
 </li>
 <li>
 Builders who take ownership and thrive in small, high-performing teams
 </li>
 <li>
 Engineers excited by AI-enabled products and difficult technical challenges
 </li>
 <li>
 M.Sc. in a STEM field
 </li>
 </ul>
 
 
 
 
 
 Nice To Have
 
 
 <ul>
 <li>
 Experience with AI/ML systems
 </li>
 <li>
 Cloud infrastructure and DevOps experience
 </li>
 <li>
 Exposure to healthcare, regulated software, or data-intensive products
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 <ul>
 <li>
 Build technology with real-world impact
 </li>
 <li>
 Work directly with exceptional founders and engineers
 </li>
 <li>
 Own major product initiatives end-to-end
 </li>
 <li>
 Solve technically challenging problems at the intersection of software, AI, and healthcare
 </li>
 </ul>
 
 
 
 
 If you're the kind of engineer who enjoys moving quickly, taking ownership, and building products from the ground up, we'd love to hear from you.
 
</div>

Full Stack Engineer

DATATRONiQ

<div>
 
 🚀 DATATRONiQ stands out as a pioneering deep-tech 💪 startup for the industrial IoT in Germany. Our platform offers a one-stop solution for companies to monitor and optimize their assets and processes. Our device management and data acquisition technology generate high-quality data for our AI models deployed on edge. We believe in an open and collaborative environment to foster the best ideas from the most creative people, and we want to talk to you!
 
 
 
 As a (senior) fullstack developer at DATATRONiQ, you will have the opportunity to work on a cutting-edge IoT platform that utilizes AI to analyze data from industrial processes. Our platform uses machine learning algorithms to detect anomalies and identify patterns that may indicate potential issues with equipment and continuously monitors the quality of parts. Our platform also provides IIoT device management and software connectors for data acquisition from a very broad range of manufacturing machines and control systems.
 
 
 
 We are looking for multiple skilled Typescript (Javascript) fullstack developers (or those who want to become one) to join our team. You will be responsible for developing and maintaining the dashboard stack (React, Koa/Express), which is run on Kubernetes and communicates with a handful of microservices written in Golang and Scala. You should have experience working with Typescript (or Javascript), as well as a strong understanding of fullstack development; ideally you have a good eye for design/UI/UX and are also interested in working with AI and machine learning technologies, as well as data analysis and visualization in general.
 
 
 
 At DATATRONiQ, you will be a key member of our engineering team and start contributing from day one. We continuously improve our development processes and take pride in our commitment to delivering high-quality products. To do so, we make a real effort to rank at the top of the Joel Test for engineering teams. We aim to create a healthy and productive engineering environment and encourage collaboration between remote and on-site team members. We do regular pair-programming sessions, and on Fridays we meet (online and offline) to finish the week with a mix of hackathons and show and tell.
 
 
 Tasks
 
 <ul>
 
 <li>
 Work in an agile environment to ship frontend and backend components; be curious about new tech
 </li>
 
 <li>
 Implement new features using Typescript and Javascript (Node.js &amp; Express in the backend, React &amp; Storybook in the frontend) and keep the overall stack up-to-date
 </li>
 
 <li>
 Advocate for high-quality code and appreciate good tests/coverage; occasionally write or improve tooling to further automate manual steps
 </li>
 
 <li>
 Actively contribute to decision-making processes how we build new features and participate in shaping the product roadmap
 </li>
 
 </ul>
 
 Requirements
 
 <ul>
 
 <li>
 Completed studies in the field of computer science, mathematics, physics or similar
 </li>
 
 <li>
 Good programming skills and solid knowledge of agile software development
 </li>
 
 <li>
 Expertise in working with databases
 </li>
 
 <li>
 Openness for new technologies
 </li>
 
 <li>
 Great written and spoken English; German is a plus
 </li>
 
 <li>
 A high level of commitment, initiative and enthusiasm for IT
 </li>
 
 <li>
 A bonus, but not mandatory: familiarity with technologies such as React, Storybook, Node.js, Docker/Kubernetes, e2e testing, and Linux
 </li>
 
 </ul>
 
 Benefits
 
 <ul>
 
 <li>
 Participation in a young company in a future-oriented industry
 </li>
 
 <li>
 Implementation of artificial intelligence in the context of industrial IoT
 </li>
 
 <li>
 Attractive workplace with innovative technology and modern equipment; hybrid work is also possible
 </li>
 
 <li>
 Exciting challenges and recognition for top performances
 </li>
 
 <li>
 A company culture where honesty, professionalism, and integrity run deep
 </li>
 
 <li>
 Flat hierarchies, quick decision-making processes, and an agile company structure
 </li>
 
 <li>
 Budget for personal and professional development as well as for equipment of your choice
 </li>
 
 <li>
 Snacks, beverages, subscription for Spotify, public transport ticket
 </li>
 
 <li>
 Competitive salary commensurate with experience and market standards
 </li>
 
 </ul>
 
 
 Did we spark your interest?
 
 
 
 This is a unique and exciting opportunity to work on a product that has the potential to make a significant impact in the industrial manufacturing sector. DATATRONiQ platform is built with TypeScript, Golang, Python, Scala, C++ and deployed as microservices on various Cloud environments and on-prem virtual machines using Kubernetes.
 
 
 If you are passionate about using your skills to solve challenging problems and make a difference, we really would like to talk to you. We are looking forward to your application!
 
 
 
 
 We ask recruitment agencies and headhunters to refrain from contacting us.
 
 
</div>

(Senior) Developer Fullstack (Typescript / Javascript / Node.js)

Cortea AI

<div><h1 class="jobSectionHeader">About us</h1>
We&rsquo;re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment.
Backed by top-tier VCs with &gt;15m funding, with a working product and paying customers, we&rsquo;re rapidly scaling.
We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office.<h2 class="jobSectionHeader">
Your Role</h2>
We're looking for an experienced engineer who's happy anywhere in the stack and turns complex audit workflows into product auditors rely on every day. You pick up whatever a problem needs, from the data model to the interface to the agents behind it.
A lot of what we build has no reference implementation. You're comfortable wading into something nobody has solved yet and shipping a first version that actually works.
Our engineering team is a small, flat group of builders: strong ICs who open a laptop when they see a problem instead of scheduling a meeting. Everyone owns real product and architecture decisions, and that's exactly what we want more of.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Build the interfaces auditors work in, partnering with design to turn complex flows into something that feels effortless</li><li>
Build and improve the agents at the core of the product, plus the harnesses and eval pipelines around them</li><li>
Make the long-running workflows behind the product reliable and debuggable, so failures surface fast instead of silently</li><li>
Use AI heavily in your own workflow to move faster, without ever shipping output you can't stand behind</li><li>
Drive the how in RFCs and technical discussions with other engineers, and partner with product on the what</li></ul><h2 class="jobSectionHeader">
Qualifications</h2>
You'll fit here if you:<ul><li>
Have 5+ years shipping production web applications across the stack</li><li>
Write production APIs and model the data behind them so it holds up under multi-tenancy and load</li><li>
Are strong on the frontend and can build genuinely complex UI</li><li>
Get how LLM agents actually work: agents, harnesses, tool use, and measuring quality with evals</li><li>
Keep up with where AI is moving and bring the latest tools into how you work to make yourself faster</li><li>
Bring a strong product mindset and real ownership of outcomes</li><li>
Make architectural decisions, weigh trade-offs, and build things other engineers can extend</li><li>
Are comfortable with ambiguity and work things out from fundamentals when there's no established answer</li></ul>
Nice-to-haves that are a plus:<ul><li>
Hands-on experience building agents, harnesses, or eval pipelines</li><li>
Data-dense or workflow-heavy B2B products</li><li>
Scaling multi-tenant systems as data and traffic grow</li><li>
Audit, finance, compliance, or another domain where being wrong is expensive</li><li>
Early-stage startup or fast-moving engineering environment</li></ul>
No one checks every box. If you ship across frontend, backend, and data and own what you build, let's talk.<h2 class="jobSectionHeader">
Our tech</h2><ul><li>
React, TS, Tailwind, TanStack</li><li>
Python, Postgres, Temporal, Kafka, Redis</li><li>
GCP, Azure, k8s</li><li>
GitHub, Linear, Slack, Notion</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
High impact &amp; growth: Front-row seat to scaling an AI startup with real ownership from day one</li><li>
Mission-driven culture: First-principles thinking, bold ideas, and a supportive team</li><li>
Attractive compensation: competitive salary + meaningful equity</li><li>
Personal development: Learning budget for courses and conferences</li><li>
True Berlin startup environment: Central Berlin office, team lunches, retreats, flexible vacation</li></ul><h1 class="jobSectionHeader">
Interview process</h1><ul><li>
First Call &mdash; Intro to Cortea with our Founders Associate Liza</li><li>
Second Call &mdash; Technical interview with our Member of Technical Staff Jendrik</li><li>
Third Call &mdash; Deep dive into our culture with our Co-Founder Philipp</li><li>
On-site Half-Day (Berlin) &mdash; Meet the team and work on a real problem together</li></ul></div><div></div>

Senior/Staff Fullstack Engineer (m/f/x)

Chapter 2

<div>Senior Product Engineer &ndash; Digital Health / AI Berlin (on-site) &middot; Full-time
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 Senior Product 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 &mdash; 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 &mdash; 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>

Explore 146+ Manufacturing solution engineer ai startup in Berlin this July. Find roles across top companies and apply now to boost your career.

146 manufacturing solution engineer ai startup jobs In Berlin

Manufacturing Solution Engineer (AI Startup)

Founding Software Engineer (Backend, Cloud & AI Infrastructure)

Senior Product Engineer

Full Stack Engineer

(Senior) Developer Fullstack (Typescript / Javascript / Node.js)

Senior/Staff Fullstack Engineer (m/f/x)

Senior Product Engineer