senior fullstack engineer typescript client success platform m f x

Capmont

<div>
 Search
 
 
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 Explore
 
 
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 Join talent network
 
 
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 AI Software Engineer (f/m/d)
 
 
 Manex AI
 
 
 Software Engineering, Data Science
 
 
 Munich, Germany
 
 
 Posted on Jun 30, 2026
 
 
 Apply now
 
 
 
 AI Software Engineer (f/m/d)
 
 
 
 
 About Us
 
 
 
 Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.
 
 
 
 Your Role
 
 
 
 As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform "Kosmos" meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.
 
 
 Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Direct software and AI application development within customer projects
 </li>
 <li>
 Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development
 </li>
 <li>
 Support technical integration of our platform into customer IT landscapes
 </li>
 <li>
 Learn how production processes, IT infrastructure and AI products intersect
 </li>
 <li>
 Translate customer requirements into technical solutions and specifications
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Information Systems, or similar
 </li>
 <li>
 0 to 4 years professional experience or internships in software engineering or similar
 </li>
 <li>
 Hands-on experience through projects, ventures, or product development
 </li>
 <li>
 Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond
 </li>
 <li>
 Business-fluent in German and English
 </li>
 <li>
 Based in Munich or willing to relocate, ready to go all-in with us
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers
 </li>
 <li>
 Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions
 </li>
 <li>
 Top-of-market compensation with equity package
 </li>
 <li>
 Develop a best-in-class network (funding, industry, and talent) in Europe and the US
 </li>
 <li>
 A fast-paced environment backed by the world's best investors with the world's leading organizations as customers
 
 
 </li>
 </ul>
 Are you willing to start contributing to European autonomy at scale? Apply now!
 
 
 Apply now
 
 
 See more open positions at Manex AI
</div>

AI Software Engineer (f/m/d)

BMW Group

<div>
 
 Innovation Is Imagining What No One Else Can.
 
 
 
 At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.
 
 
 With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.
 </li>
 <li>
 Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.
 </li>
 <li>
 You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.
 </li>
 <li>
 In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.
 </li>
 <li>
 You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.
 </li>
 <li>
 You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.
 </li>
 <li>
 In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.
 </li>
 <li>
 Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
 </li>
 <li>
 Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
 </li>
 <li>
 Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
 </li>
 <li>
 Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
 </li>
 <li>
 Proven technical leadership experience in agile, cross-functional teams.
 
 
 
 </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note
 
 : Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <ul>
 <li>
 Challenging projects with which we are shaping the mobility of tomorrow together.
 </li>
 <li>
 Wide range of personal and professional development opportunities.
 </li>
 <li>
 Attractive, fair and performance-related remuneration.
 </li>
 <li>
 High level of job security.
 </li>
 <li>
 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
 </li>
 <li>
 Flexible working hours including 6 weeks annual leave and overtime compensation.
 </li>
 <li>
 Discounted BMW &amp; MINI conditions.
 </li>
 <li>
 Many other benefits at bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Earliest starting date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours
 
 : full-time
 
 
 When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
 
 
 Senior AI Engineer for the Infotainment Platform (f/m/x)
</div>

Senior AI Engineer for the Infotainment Platform (f/m/x)

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
A fast-growing, pre-seed-funded energy tech startup based in Munich is looking for a Founding Product Engineer to join its early team. The company builds an enterprise-grade, AI-powered SaaS platform that helps industrial companies strategically manage their energy procurement &mdash; covering everything from consumption forecasting and flexible procurement to flexibility monetisation.
As one of the first engineers on the team, you will have a decisive say in how the product is built, what the tech stack looks like, and how customers experience the platform. This is a high-ownership, high-impact role for a generalist engineer who thrives at the intersection of product, engineering, and customer collaboration.
No visa sponsorship is available for this position.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own the full product lifecycle &mdash; from design and scoping through to deployment and iteration.</li><li>
Translate product objectives into clear, actionable requirements in close collaboration with customers.</li><li>
Design simple, iterative solutions to complex energy procurement and optimisation problems.</li><li>
Develop performant backend services for a data-intensive application.</li><li>
Build intuitive, elegant user interfaces for a complex decision-support system.</li><li>
Train time-series forecasting models for power consumption and renewables production.</li><li>
Develop linear optimisation algorithms aimed at reducing customer energy costs.</li><li>
Help choose and evolve the core tech stack (currently centred on PostgreSQL, TypeScript, React, and Python).</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Must-haves:<ul><li>
2+ years of software engineering experience delivering scalable web applications in an early-stage startup environment.</li><li>
Proven track record of delivering full product features independently, in direct collaboration with customers.</li><li>
Strong software engineering fundamentals &mdash; you build things that are robust, maintainable, and scalable.</li><li>
Hands-on experience building backend services for data-intensive applications.</li><li>
Experience building frontend UIs for complex decision-support or analytical tools.</li><li>
A product mindset: you think about user impact, not just code quality.</li><li>
Comfort with ambiguity and a genuine appetite for fast-paced, early-stage environments.</li></ul>
Strongly preferred:<ul><li>
Hands-on experience with time-series forecasting and/or linear optimisation.</li><li>
Familiarity with PostgreSQL, TypeScript, React, and/or Python.</li><li>
Previous experience as a founding engineer, CTO, or technical co-founder at a startup.</li></ul>
Nice to have:<ul><li>
Experience with FastAPI and/or Supabase.</li><li>
Interest in or knowledge of energy markets and energy-intensive industrial operations.</li><li>
Corporate engineering background is acceptable if paired with a demonstrated startup mindset and grit.</li></ul><h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3><ul><li>
Salary: &euro;85,000 &ndash; &euro;140,000 per year, depending on experience.</li><li>
Meaningful early-stage equity participation (details shared during the process).</li><li>
Direct influence over product direction, tech stack, and team culture from day one.</li><li>
Work alongside an experienced founding team in a well-backed, mission-driven company.</li></ul><h3 class="jobSectionHeader">
Location</h3>
This is a hybrid role based in Munich, Bavaria, Germany. You are expected to work on-site in Munich the majority of the week, with flexibility for occasional remote days. Fully remote candidates are not suitable for this position.</div>

Founding Product Engineer

Airbus

<div>Job Description:
In order to support us, Airbus Defence and Space is looking for an 
<h1 class="jobSectionHeader"> 
AI Solutions Engineer (d/f/m)
</h1>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs. 
 
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
Your location
 
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
The other possible locations for this role are:
Madrid / Getafe
 
Toulouse
Our Benefits for You
<ul><li>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</li><li>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</li><li>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</li><li>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</li><li>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA. 
</li></ul> 
Your tasks and responsibilities
<ul><li>Problem Discovery &amp; Feasibility: Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</li><li>Tactical Implementation: Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</li><li>Implementation of Agentic Systems: Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</li><li>Platform Evolution: Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</li><li>Sovereignty &amp; Compliance: Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</li><li>AI solutions delivery: Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</li></ul>Desired skills and qualifications
<ul><li>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</li><li>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</li><li>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</li><li>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</li><li>Experience with scripting languages (e.g. Python , JavaScript, etc.) for automation and ML/DevOps libraries.
</li><li>At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</li><li>Previous experience as a liaison between tech development and business teams
</li><li>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</li><li>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</li><li>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</li><li>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</li><li>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</li><li>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</li><li>Fluent English, German and English is a plus 
</li></ul> 
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
Take your career to a new level and apply online now! 
 
#MYCYM
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Digital &lt;JF-IM-DI&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

AI Solutions Engineer (d/f/m)

H&Z Unternehmensberatung AG

<div><div>M&uuml;nchen</div><div>
Vollzeit</div><div>
Festanstellung</div></div>
 <div><div><div><h2 class="jobSectionHeader">Position</h2><div><div>
Du m&ouml;chtest KI-L&ouml;sungen nicht nur entwickeln, sondern deren strategische Ausrichtung, technische Exzellenz und nachhaltigen Erfolg beim Kunden verantworten? 
Du denkst AI-Produkte ganzheitlich, von der Gesch&auml;ftsanforderung &uuml;ber Architektur und Delivery bis hin zu Betrieb, Skalierung und kontinuierlicher Optimierung? 
Du m&ouml;chtest technische Teams f&uuml;hren, Standards etablieren und innovative AI-L&ouml;sungen f&uuml;r nationale und internationale Kunden gestalten?</div> 
Dann haben wir die richtige Stelle f&uuml;r dich: 
<h1 class="jobSectionHeader">
Team Lead AI Engineering (w/m/d) 
</h1></div></div><div><h2 class="jobSectionHeader">
Was gibt es zu tun?</h2><div><ul><li>
Du f&uuml;hrst ein interdisziplin&auml;res AI-Engineering-Team fachlich und technisch und entwickelst dessen Kompetenzen kontinuierlich weiter</li><li>
Au&szlig;erdem &uuml;bernimmst du die End-to-End-Verantwortung f&uuml;r komplexe AI-L&ouml;sungen, von Discovery, Solution Design und Architektur bis zum produktiven Betrieb und der kontinuierlichen Weiterentwicklung</li><li>
Teil deiner Aufgabe ist es, gesch&auml;ftliche Anforderungen in skalierbare, sichere und robuste AI-Systemarchitekturen zu &uuml;bersetzen und gemeinsam mit Kunden und internen Stakeholdern technische Roadmaps zu definieren</li><li>
Teil deiner Verantwortung sind Architekturentscheidungen rund um LLM-basierte Systeme, agentische Workflows, RAG-Architekturen, Tool Integration, Orchestrierung und Evaluierungsframeworks</li><li>
Du etablierst Best Practices, Standards und wiederverwendbare Patterns f&uuml;r AI- und LLM-L&ouml;sungen, von Prompt Engineering &uuml;ber Context Engineering bis hin zu Governance und Quality Assurance</li><li>
In deiner Rolle treibst du den Aufbau und die Weiterentwicklung von LLMOps- und MLOps-Strukturen voran, inklusive CI/CD, automatisierter Evaluierung, Monitoring, Versionierung und kontinuierlicher Optimierung</li><li>
Du steuerst technische Discovery-Phasen, f&uuml;hrst Machbarkeitsanalysen durch und bewertest technologische Risiken, Kosten und Skalierungsoptionen</li><li>
Ein wichtiger Teil deiner T&auml;tigkeit ist es sicherzustellen, dass AI-L&ouml;sungen h&ouml;chsten Anforderungen an Performance, Security, Compliance, Datenschutz und Responsible AI gerecht werden</li><li>
Du integrierst AI-Komponenten in komplexe Enterprise-Systemlandschaften und entwickelst nachhaltige Integrationsstrategien &uuml;ber APIs, Microservices und eventgetriebene Architekturen</li><li>
Als Team Lead AI Engineering agierst du als technischer Trusted Advisor f&uuml;r Kunden, moderierst Architektur-Workshops und unterst&uuml;tzt bei strategischen Technologieentscheidungen</li><li>
Du coachst und mentorierst Engineers, f&ouml;rderst technische Exzellenz im Team und etablierst eine starke Engineering-Kultur</li></ul></div></div><div><h2 class="jobSectionHeader">
Was bringst du mit?</h2><div><ul><li>
Ein abgeschlossenes Studium der Informatik, Informationstechnologie oder eine vergleichbare Qualifikation mit fundierter praktischer Erfahrung</li><li>
Mehrj&auml;hrige Erfahrung im Software Engineering mit Schwerpunkt auf Backend-, Distributed Systems- oder Cloud-native Architectures</li><li>
Umfangreiche Erfahrung in der Konzeption und produktiven Umsetzung komplexer AI- und Generative-AI-L&ouml;sungen auf Enterprise-Niveau</li><li>
Tiefgehendes Verst&auml;ndnis moderner LLM-Architekturen und AI-Applikationsmuster wie RAG, Multi-Agent Systems, Embeddings, Vector Databases, Tool Calling, Guardrails und Evaluation Pipelines</li><li>
Fundierte Erfahrung mit relevanten Frameworks und Stacks wie LangChain, LlamaIndex, Semantic Kernel oder vergleichbaren Technologien</li><li>
Erfahrung im Aufbau produktionsreifer AI-Plattformen inklusive Monitoring, Observability, Cost Optimization und Governance</li><li>
Sehr gute Kenntnisse in mindestens einer modernen Programmiersprache, zum Beispiel Python, TypeScript, C# oder Java, sowie ein starkes Architekturverst&auml;ndnis</li><li>
Erfahrung mit Cloud-Plattformen wie Microsoft Azure, Amazon Web Services AWS oder Google GCP; idealerweise mit Fokus auf AI-native Services</li><li>
Sehr gutes Verst&auml;ndnis von DevOps-Prinzipien, Infrastructure as Code, CI/CD, Containerisierung und Security-by-Design</li><li>
Erfahrung in technischer F&uuml;hrung, Teamsteuerung, Mentoring oder Architekturverantwortung</li><li>
Hohe Beratungs- und Kommunikationsst&auml;rke sowie die F&auml;higkeit, komplexe technische Zusammenh&auml;nge adressatengerecht zu vermitteln</li><li>
Verhandlungssichere Englischkenntnisse; Deutschkenntnisse sind von Vorteil</li></ul></div></div><div><h2 class="jobSectionHeader">
Was bieten wir dir?</h2><div><ul><li>
Strategisch relevante Projekte mit hoher technologischer Komplexit&auml;t und direktem Business Impact</li><li>
Viel Gestaltungsspielraum und echte Verantwortung</li><li>
Fachliche und pers&ouml;nliche Weiterentwicklung auf Senior- und Leadership-Level</li><li>
Mentoren-Programm</li><li>
Famili&auml;res und freundschaftliches Arbeitsklima</li><li>
Mitarbeiterevents und Firmenretreats</li><li>
Mobilit&auml;tsangebote</li><li>
Tolles zentrales Office in M&uuml;nchen</li><li>
Getr&auml;nke, Obst &amp; Joghurts im Office</li><li>
Firmenlaptop &amp; Firmenhandy</li><li>
Sportangebote</li></ul></div></div></div>
<div><h2 class="jobSectionHeader">&Uuml;ber uns</h2><div>
&Uuml;ber H&amp;Z 
H&amp;Z ist eine f&uuml;hrende europ&auml;ische Managementberatung mit klarem Fokus auf messbare Wirkung. Als Partner unterst&uuml;tzt H&amp;Z mittelst&auml;ndische Unternehmen und Konzerne dabei, ihre Wettbewerbsf&auml;higkeit nachhaltig zu st&auml;rken und verbindet dabei Klarheit, Verantwortung und pragmatische Umsetzung. 
Mit Expertise in Procurement, Performance, digitaler Transformation und Restrukturierung &uuml;bersetzt H&amp;Z strategische Ziele in konkrete Ergebnisse entlang der gesamten Wertsch&ouml;pfungskette. Von der Strategie bis zur Umsetzung stellt H&amp;Z sicher, dass Wirkung nicht nur entsteht, sondern langfristig verankert wird. 
From Ambition to Impact. 
So entsteht aus Ambition messbare Wirkung und aus Wirkung nachhaltige Wettbewerbsst&auml;rke.</div></div></div>

Team Lead AI Engineering (w/m/d)

parcelLab

<div>At parcelLab, we&rsquo;re reshaping how the world&rsquo;s leading brands manage the post-purchase experience.
Our post-purchase platform helps companies like John Lewis, Chico's, Yeti, AllSaints, and others transform every touchpoint into moments that drive customer engagement, build loyalty, and create customers for life.
We&rsquo;re looking for a Senior Backend Engineer - a product‑focused builder with strong experience to help evolve our Returns Portal, a white‑label SaaS used by customers in 175+ countries. You&rsquo;ll work on a large‑scale Django application with a modern Python toolchain (uv/mypy/Ruff/Pydantic) and a server‑driven UI stack (HTMX/Alpine).<h3 class="jobSectionHeader">
The role:</h3>
You will design and evolve the backend systems behind our returns experiences&mdash;owning problems end‑to‑end: clarify outcomes, collaborate with Product and Design, and ship reliable, observable services that make returns fast, clear, and correct.<h3 class="jobSectionHeader">
What you&rsquo;ll do:</h3><ul><li>
Lead services &amp; workflows from concept to impact: model data, implement APIs and jobs, instrument, launch, and iterate.</li><li>
Design and evolve domain models &amp; rules for returns (RMAs, eligibility, routing, bundles) with safe migrations and clear boundaries.</li><li>
Build and maintain APIs (REST/GraphQL) and endpoints that power our server‑driven UI (HTMX/Alpine).</li><li>
Integrate with commerce systems (e.g., Shopify) and order/warehouse tools: design and operate API/webhook integrations, keep orders and RMAs in sync, and ensure idempotent, reliable synchronization and backfills.</li><li>
Raise the bar on engineering practices: typing (mypy), validation (Pydantic), code quality (Ruff), CI/CD, and thoughtful reviews.</li><li>
Own quality in production: monitor performance and error rates; fix what you ship.</li></ul><h3 class="jobSectionHeader">
What we&rsquo;re looking for:</h3><ul><li>
Proficiency with Python in production, ideally (nice to have) with Django.</li><li>
Strong SQL fundamentals, relational modeling, and safe migrations.</li><li>
Experience building APIs (REST) and working with job queues.</li><li>
Comfort with modern Python tooling: uv, mypy, Ruff, Pydantic.</li><li>
Testing mindset (unit/integration) and continuous delivery know‑how.</li><li>
Evidence of agency: stories where you drove an outcome end‑to‑end.</li></ul><h3 class="jobSectionHeader">
Bonus Points:</h3><ul><li>
Experience with server‑driven UIs (Django templates + HTMX/Alpine).</li><li>
Tailwind CSS and solid CSS fundamentals (layout, responsive, a11y) for pragmatic UI tweaks in server‑rendered templates.</li><li>
Shopify ecosystem exposure (Admin API, webhooks, embedded apps).</li><li>
E‑commerce/returns domain familiarity (bundles, routing, warehousing).</li><li>
Observability and SLO practice (metrics, tracing, error budgets); performance tuning in Django at scale.</li></ul><h3 class="jobSectionHeader">
Our stack:</h3>
(you don&rsquo;t need all of this)
Python 3.14, Django, HTMX/Alpine.js (server‑driven UI), mypy, Ruff, Pydantic, uv; PostgreSQL (relational), Redis, a job queue (Celery), REST API / GraphQL, AWS, Terraform, GitHub Actions, feature flags, Sentry/Datadog observability.<h4 class="jobSectionHeader">
Why join parcelLab:</h4><ul><li>
You&rsquo;ll join a passionate and collaborative global team with plenty of room to grow</li><li>
Competitive salary + benefits</li><li>
A culture that values creativity, experimentation, and ownership</li></ul><h4 class="jobSectionHeader">
Perks &amp; Benefits:</h4>
Plenty of room for your own ideas...space to try, fail and learn!
Comprehensive 30-60-90 day onboarding plan in place from the very first day to help you integrate seamlessly with the rest of the company and understand new responsibilities
Equipped with the latest MacBook or PC, as a digital-first company, you choose whether to work entirely from home, in one of our offices or a mix that suits you. Not close to one of our offices No problem! Find yourself a co-working space instead, and we&rsquo;ll help cover the costs
Career development opportunities, including our Leadership Development Program, as well as online language courses, available budgets for further training
&zwj;️ Stay grounded with our free meditation, mindfulness and coaching sessions via our mental wellbeing platform TELUS.health
Regular company retreats, parcelLab events (in-person and online), local and regional meet-ups, as well as team off-sites
Be part of a motivated, diverse and international team made up of over 25 different nationalities; and with a great rating for company culture and employee experience on Glassdoor, you&rsquo;ll love working here!<h4 class="jobSectionHeader">
About parcelLab:</h4>
parcelLab&rsquo;s platform unifies every touchpoint from customer conversion, order tracking, delivery, returns, and engagement into one seamless ecosystem that not only reduces friction but actively drives repeat purchases, transforming post-purchase into a competitive advantage.
It&rsquo;s all in a day&rsquo;s work for us:<ul><li>
Monitor over six million shipments per day</li><li>
175+ countries across the globe use our tracking pages</li><li>
1000+ brands use parcelLab for their post-purchase experience</li><li>
Shipping data comes from more than 350+ carriers worldwide, including DHL, FedEx &amp; DPD</li><li>
150+ employees around the globe, driving innovation together</li></ul>
Equal Opportunities:
parcelLab is an Equal Opportunities Employer. We live the motto always joy, always team, always equality, which means we celebrate diversity and do not accept any form of discrimination or harassment. We believe that diversity enriches our employee experience and allows each of us to deliver the best work possible.
Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or other lived experience.
Come be part of our growth &ndash; contribute your ideas and share in our success as we continue to improve the post-sales customer journey for millions of people every day.</div>

Senior Backend Engineer

Navflex

<div>Non‑negotiables for this role<ul><li>
3+ years hands-on programming of SICK safety controllers using SICK Safety Designer (professional, production use).</li><li>
Electrical Engineering background with strong hands-on commissioning / troubleshooting on real vehicles.</li><li>
Confident Python programming and ability to read and debug existing Python code (integration of safety system with application logic).</li></ul><h1 class="jobSectionHeader">
About Navflex</h1>
Navflex builds autonomous mobile robots (AMRs) that operate in real warehouse and dock environments where safety, uptime, and reliability are mission-critical. Our robots must perform safely around people, forklifts, and mixed traffic while delivering measurable efficiency improvements for customers.<h1 class="jobSectionHeader">
Role Overview</h1>
As our Senior Functional Safety &amp; Safety Controls Engineer, you will own the end-to-end safety implementation on our mobile robotic platforms &mdash; from safety concept and risk assessment through hands-on implementation in SICK safety controllers and validation on the vehicle. You will work on the robot every day, iterate quickly, and ensure our safety behavior remains correct as platforms, sensors, and use cases evolve.
This role is highly hands-on and combines functional safety engineering with real-world safety controller programming and software integration. You will collaborate closely with robotics software (navigation/perception/control), electrical and mechanical engineering, and field operations to deliver safety solutions that scale across platforms and deployments.<h1 class="jobSectionHeader">
What You Will Own</h1><ul><li>
Safety controller architecture and implementation across Navflex AMR/AGV platforms, with a strong focus on SICK safety controllers.</li><li>
Day-to-day development, commissioning, troubleshooting, and versioned configuration management of SICK Safety Designer projects.</li><li>
Safety integration points between the safety controller and the robot application stack (status, modes, field switching, diagnostics), including Python-based tooling/software components.</li><li>
Safety verification and validation on the vehicle, including test planning, execution, evidence capture, and documentation maintenance.</li><li>
Support for certifications, audits, and customer/site acceptance related to machinery safety and mobile robot standards (e.g., ISO 3691-4, ISO 13849).</li></ul><h1 class="jobSectionHeader">
Key Responsibilities</h1><h2 class="jobSectionHeader">
Safety concept, risk assessment, and requirements</h2><ul><li>
Lead and continuously maintain risk assessments for our vehicles and operating modes (e.g., autonomous, manual, service/maintenance) and derive safety requirements and safety functions.</li><li>
Translate safety requirements into an implementable safety concept and safety controller design, including safety I/O definitions, sensor coverage strategy, and safe-state behavior.</li><li>
Define required Performance Levels (PLr) / SIL targets for safety functions and maintain traceability from hazards safety requirements implementation verification evidence.</li></ul><h2 class="jobSectionHeader">
SICK safety controller programming (SICK Safety Designer)</h2><ul><li>
Design, implement, and maintain safety logic in SICK safety controllers using SICK Safety Designer, including diagnostics and safe-state handling.</li><li>
Commission and troubleshoot safety systems on real robots: wiring verification, signal integrity, scanner/encoder configuration, safety I/O checks, and fault analysis.</li><li>
Build a maintainable configuration strategy across product variants: reusable modules, clear naming conventions, version control, and release/deployment procedures for safety configurations.</li><li>
Implement and validate common AMR/AGV safety behaviors such as emergency stop, protective stop, speed reduction, safe direction, safe speed monitoring, and field set switching (as applicable to the platform).</li></ul><h2 class="jobSectionHeader">
Vehicle integration and Python-based software interfaces</h2><ul><li>
Own the integration of safety controller status and commands with the robot application stack while preserving correct separation between safety-rated and non-safety functions.</li><li>
Develop and maintain Python-based tooling/modules that interface with the safety controller (e.g., configuration deployment helpers, log collection, diagnostics, automated reports, or integration services).</li><li>
Work with robotics software engineers to pinpoint root causes across the stack (safety controller, sensors, network, application logic) and drive issues to resolution.</li></ul><h2 class="jobSectionHeader">
Verification, validation, and documentation</h2><ul><li>
Create and execute safety verification and validation plans for new features, new platform types, and customer-specific operating domains; document results clearly and reproducibly.</li><li>
Maintain safety documentation throughout the lifecycle: safety concept, risk assessment, safety requirements, verification/validation evidence, change logs, and customer-facing documentation as needed.</li><li>
Support internal design reviews and external assessments (e.g., notified bodies, T&Uuml;V, customer audits) with well-structured technical files and evidence packs.</li></ul><h2 class="jobSectionHeader">
Cross-functional leadership and operations support</h2><ul><li>
Partner with hardware, mechanical, and software engineering to ensure safety is designed-in from early development through production and field deployment.</li><li>
Support early deployments and customer transitions by diagnosing safety-related field issues, recommending design changes, and improving robustness.</li><li>
Contribute to continuous improvement of safety processes (templates, checklists, test automation, change control) so safety scales with fleet growth.</li></ul><h1 class="jobSectionHeader">
Required Qualifications</h1><ul><li>
Bachelor&rsquo;s degree (or higher) in Electrical Engineering or a closely related field.</li><li>
3+ years of substantial, hands-on experience programming SICK safety controllers using SICK Safety Designer (including commissioning and troubleshooting on real machines/vehicles).</li><li>
3+ years of experience implementing functional safety solutions for industrial automation, robotics, or mobile machines; strong familiarity with safety lifecycle thinking (hazard analysis requirements implementation verification).</li><li>
Strong working knowledge of relevant safety standards and methods; ideally ISO 3691-4 for AGVs/AMRs, and/or ISO 13849-1 / IEC 62061.</li><li>
Practical experience with safety sensors and safety circuits (e-stops, safety laser scanners, safety encoders, safety I/O, interlocks).</li><li>
Confident Python programming skills and ability to read/debug production Python code in a multi-component robotics system.</li><li>
Comfortable working hands-on with hardware in a lab/warehouse environment and iterating quickly based on test results.</li><li>
Fluent English (German is a strong plus).</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Demonstrated experience implementing safety solutions for AGVs/AMRs specifically aligned with ISO 3691-4 (from concept through validation).</li><li>
Experience with PL/SIL calculations and tooling (e.g., SISTEMA) and building safety evidence packs/technical files for CE marking.</li><li>
Knowledge of safe communications / fieldbuses commonly used with safety systems (e.g., CIP Safety, PROFIsafe) and industrial networking fundamentals.</li><li>
Experience working with mobile robot software stacks (e.g., ROS/ROS 2, Linux, networking, log analysis) and collaborating with navigation/perception/control teams.</li><li>
T&Uuml;V Functional Safety certification (or similar) and/or experience working directly with notified bodies and third-party test labs.</li></ul><h1 class="jobSectionHeader">
Tools &amp; Environment</h1><ul><li>
SICK Safety Designer (must-have); experience with Flexi Soft ecosystems is highly relevant.</li><li>
Safety-rated sensors and components (safety laser scanners, safety encoders, safety I/O, safety relays/contactors).</li><li>
Python, Git, and modern engineering workflows (issue tracking, code reviews, CI where applicable).</li><li>
Hands-on vehicle testing and commissioning in a robotics lab / customer-like environments.</li></ul><h1 class="jobSectionHeader">
What Success Looks Like</h1><ul><li>
Safety configurations are reliable, diagnosable, and managed like product software: versioned, reviewable, testable, and deployable.</li><li>
New platform types and customer operating domains can be supported quickly with clear safety requirements, robust implementations, and repeatable validation procedures.</li><li>
Safety-related issues are investigated efficiently across the full stack (sensors safety controller integration application logic), leading to rapid root-cause identification and corrective actions.</li><li>
Documentation and evidence are continuously maintained so audits and certifications are predictable rather than disruptive.</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
A highly hands-on role with real robots, real customer environments, and direct impact on product safety and reliability.</li><li>
High ownership: you will shape how safety engineering is executed and scaled across our platform portfolio.</li><li>
A collaborative, international engineering team with fast iteration cycles and a strong focus on solving real-world logistics problems.</li><li>
Competitive compensation and benefits aligned with market standards for senior engineering roles in Munich.</li></ul><h1 class="jobSectionHeader">
Equal Opportunity</h1>
Navflex is committed to building an inclusive workplace. We evaluate qualified applicants without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status.</div>

Senior Functional Safety Engineer/Safety Systems Engineer

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