applications engineer

Corning

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Date: Jun 19, 2026
 
Location: Berlin, DE, 12489
 
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Company: Corning
 
Requisition Number: 75855
 
The company built on breakthroughs.
 Join us.
 
Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
 
How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.
 
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
 
Come break through with us.
 
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
 
For our TechCenter in Berlin-Adlershof, Germany, we are looking for a
 
Senior Systems Engineer, Co-Packaged Optics (m/f/d)
 
Role Purpose
 
The Senior Systems Engineer, Co-Packaged Optics is responsible for working directly with our customers and ecosystem partners to understand their product challenges, create system-level solutions, translate those solutions into product requirements, and drive design-in of Corning's Co-Packaged Optics (CPO) products. The role combines deep technical expertise in semiconductor manufacturing and photonic connectivity with a strong customer-facing orientation, serving as the technical interface between Corning R&D, program management and the business team to shape the future of AI infrastructure in hyperscale data centers.
 
This is a highly visible role that combines deep systems expertise with strong communication skills to guide our customers from early architecture discussions through design-in and qualification to serial production, bridging internal engineering teams and our customers to solve deployment challenges and influencing the CPO roadmap based on direct customer insight.
 
Key Responsibilities
 Serve as a primary technical point of contact for strategic customers and ecosystem partners throughout the CPO product lifecycle - from early architecture discussions through design-in, qualification, and deployment
 Lead product and system ideation with our customers and partners, with the goal of addressing identified needs through differentiated product offerings
 Translate customer requirements into internal product specifications, ensuring alignment between external needs and Corning's R&D and product development capabilities.
 Conduct feasibility studies and develop initial design concepts to be transferred to R&D
 Establish ongoing and trusting relationships with technical counterparts amongst our primary customers and partners within the CPO ecosystem.
 Develop a deep understanding of customer applications, the systems in which they operate, and how Corning products function in these applications.
 Lead technical deep-dive sessions, architecture workshops, and design reviews with customer engineering teams, including hyperscaler network architects and ASIC/platform engineers.
 Perform system level thermo-mechanical simulations to provide design recommendations
 Deliver compelling technical presentations, demos, and proof-of-concept (PoC) engagements
 Participate in mapping out market trends and technology roadmaps, identifying key gaps and recommendations in terms of both technology capabilities and new products.
 In close collaboration with PLM and Marketing, help refine Corning's value proposition in the context of a deep understanding of the applications and use cases of our CPO solutions
 Collaborate with ASIC partners, packaging houses, laser vendors, and connector suppliers as well as hardware providers to build understanding of next generation requirements
 Act as the voice of the customer inside Corning, driving requirement clarity, feature prioritization, and responsiveness to field feedback.
 Establish ongoing and trusting relationships with technical counterparts amongst our primary customers and partners within the CPO ecosystem.
 
Experiences/Education - Required
 Master's or Doctorate Degree in Physics, Electrical, Optical or Mechanical Engineering, or equivalent fields.
 7+ years of experience in an applications, systems, or product development function, with meaningful time in a customer-facing technical role (Systems Engineer, Applications Engineer, Scientist, or Solutions Architect).
 Participation in complex projects and contribution to multi-functional teams in a fast-paced competitive environment.
 
Required Skills
 
Deep understanding of one or more of the following: optics, glass as a material, optical fiber and communications, Silicon Photonics, semiconductor packaging, semiconductor metrology, electronic hardware design and manufacturing.
 Ease with frequent customer engagements at a technical level, with the ability to comprehend technical needs and convey effective value propositions.
 Ability to collaborate across functional and geographical boundaries to solve problems and develop solutions.
 Conceptualize complex specification and application requirements and articulate to internal/external stakeholders to initiate new product development or implement product changes.
 Mobilize and influence people within and outside the organization to meet objectives.
 Garner trust and lead collaborative work efforts, both internally and externally, across multiple time zones.
 
Desired Skills
 Work experience in PLM, Manufacturing, Systems Engineering, and/or Product Development in a fast-paced OEM context.
 +3 years of industrial experience.
 Systems-level knowledge of CPO architectures, including photonic engines, external laser sources (ELS/ELSFP), fiber attach, ASIC integration and advanced packaging.
 Direct experience deploying CPO, NPO, LPO, or advanced pluggable optics in production or pre-production environments.
 Familiarity with AI/ML fabric architectures (scale-up / scale-out), including GPU/XPU cluster designs and optical I/O requirements.
 Fluent English, verbally and written.
 
A job that shapes a life.
 
Corning offers you the total package.
 
Your well-being is our top priority. Our Compensation & Benefits package supports your health and well-being, your financial goals, and your career—from day one.
 
Company-wide bonuses and long-term incentive programs are linked to key business results, ensuring you're rewarded when the company succeeds. When Corning wins, we all win.
 
Our health and well-being benefits include company-funded retirement plan, paid leave, and an Employee Assistance Program (EAP) to support you and your family.
 Getting paid for our work is important, but feeling valued and recognized motivates us even more. That's why Corning offers a recognition program to celebrate achievements and recognize colleagues who deliver exceptional performance.
 
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.
 
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Senior Systems Engineer, Co-Packaged Optics (m/f/d)

SmartBroker

<div><h4 class="jobSectionHeader">Your mission</h4>
For our significantly growing Data, AI &amp; MarketingTech Department, we are looking for several AI Engineers. Our new data team is established to focus on GenAI use case development for client facing product features as well as for increasing efficiencies of internal processes among other data related topics. 
As AI Engineer you are playing a pivotal role in Smartbroker&rsquo;s data &amp; AI journey. You will work at the core of GenAI implementation at the intersection of business, data, and technology, drive innovation and data &amp; AI adoption throughout the organization. Our GenAI use cases are focused on generating significant business value through the usage of most modern AI technologies. 
 
Job Description 
<ul><li>
Design and develop AI use cases for internal processes or client facing product features using up to date GenAI technologies based on LLMs &amp; RAG</li><li>
Develop and maintain the technical AI and machine learning infrastructure for deploying AI-enabled solutions in the cloud</li><li>
Build AI and data features in close collaboration with product engineering teams</li><li>
Implement end-to-end efficient data and AI pipelines according to our data consumers&lsquo; needs up to consumable data &amp; AI products</li><li>
Own the technical implementation and components of your team as well as their operation and maintenance</li><li>
Act as a consultant for other technical teams with regards to usage of GenAI models, tools, and agents</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li>
University degree in a technical field: computer science, business informatics, natural sciences, or similar</li><li>
Expert knowledge on state-of-the-art AI use cases, agentic applications and best practices</li><li>
Expert knowledge in machine learning, generative AI, LLMs &amp; RAG, AI agents and related technical tools (OpenAI, LangChain , Langfuse &hellip;)</li><li>
Very good python &amp; SQL programming skills, Java is a plus</li><li>
Deep technical knowledge of modern cloud based AI platforms (GCP/AWS)</li><li>
Deep knowledge of software engineering best practices&mdash;from requirements specification, version control, CI/CD, and testing to deployment and monitoring of data pipelines and services</li><li>
Familiarity with data &amp; AI security, data regulations, data privacy requirements</li><li>
Proactive, solution-oriented mindset, strong sense of ownership</li><li>
Strong English communication and presentation skills, German is a plus</li><li>
Interest in finance and fintech industry and a sense of humor</li></ul><h4 class="jobSectionHeader">
About us</h4>
Among other things, the Smartbroker Group operates Smartbroker+ - a multi-award-winning online broker that is the only provider in Germany to combine the extensive product range of traditional brokers with the extremely favourable conditions of neobrokers. The portfolio also includes the digital fund broker SMARTBROKER Finance (formerly: FondsDISCOUNT.de), while the Group also operates four high-reach stock market portals (wallstreet-online.de, boersenNews.de, FinanzNachrichten.de and ARIVA.de). With several hundred million monthly page impressions, the Group is the largest independent financial portal operator in the German-speaking world and also maintains the largest financial community. 
The company is one of the pioneers of digital investment. For more than 25 years, we have been committed to breaking down the barriers to investing and enabling user-friendly and cost-effective investment processing. 
 
Our employees are the key to this success. Due to our strong growth momentum, we have created numerous attractive jobs in recent years. Every day, we strive to build the best team and give our employees the space to develop themselves in the best possible way. A diverse team of top performers ensures that we all learn something new every day. From a small team of around 20 people, we have now grown into a company with around 260 employees (as of 31 December 2023), based in a modern office in Berlin-Kreuzberg. 
 
We see ourselves as an innovative fintech that is embedded in a successful group of companies and thus combines a personal working atmosphere with the advantages of a financially strong public limited company. We rely on flat hierarchies, individual development and agile processes in all parts of the company. We are proud of the personal cohesion within the team and the above-average length of service of many employees. We are committed to diversity and equal opportunities. We strive to build a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work and our team will be. 
 
If you want to be part of this fast-growing organisation, apply now to join the Smartbroker Group. 
 
We encourage women, non-binary and transgender people as well as all members of the LGBTQI+ community, people from marginalised ethnic backgrounds and people with visible or non-visible disabilities to apply if they are looking for an inclusive, diverse and safe working environment.</div>

AI Engineer (m/f/d)

Raisin

<div>
 Raisin is the world&rsquo;s leading platform for savings and investment products. Founded in 2012, the
 
 FinTech
 
 connects consumers with banks in the EU, the UK and the US. This gives consumers
 
 better interest rates
 
 and banks a
 
 diversified form of refinancing
 
 . Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
 
 
 Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from
 
 more than one million investors
 
 which have accrued over 5 billion euros in returns.
 
 
 
 Team
 
 
 
 The AI Enablement team supports the adoption of AI capabilities across Raisin&rsquo;s products and internal systems.
 
 
 The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.
 
 
 The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.
 
 
 
 Your Responsibilities
 
 
 
 As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
 
 
 
 Enable teams to adopt AI effectively
 
 
 
 <ul>
 <li>
 Work with product and engineering teams to identify and refine AI use cases
 </li>
 <li>
 Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
 </li>
 <li>
 Promote consistent and reusable solutions to reduce fragmentation across teams
 
 
 </li>
 </ul>
 
 Contribute To Shared Capabilities Where Needed
 
 
 
 <ul>
 <li>
 Develop or extend shared components, integrations, or services when required to unblock teams
 </li>
 <li>
 Define and implement patterns for integrating LLM capabilities into the platform
 </li>
 <li>
 Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
 </li>
 <li>
 Manage AI costs and budget usage when providing shared model access and services to other teams.
 </li>
 <li>
 Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases
 
 
 </li>
 </ul>
 
 Guide technical decisions
 
 
 
 <ul>
 <li>
 Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
 </li>
 <li>
 Help teams choose appropriate solutions based on context rather than applying AI by default
 </li>
 <li>
 Contribute to establishing a pragmatic and consistent approach to AI usage
 
 
 </li>
 </ul>
 
 Ensure robustness and responsible usage
 
 
 
 <ul>
 <li>
 Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
 </li>
 <li>
 Support the implementation of safeguards such as access controls, validation, and monitoring
 </li>
 <li>
 Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
 </li>
 <li>
 Contribute to practices that ensure solutions are reliable and aligned with internal standards
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 
 Background
 
 
 
 <ul>
 <li>
 Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
 </li>
 <li>
 Strong generalist mindset, comfortable working across technical domains
 </li>
 <li>
 Experience working on production systems and collaborating across teams
 </li>
 <li>
 Comfortable operating in environments with evolving scope and priorities
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
 </li>
 <li>
 Experience with cloud environments (AWS preferred)
 </li>
 <li>
 Solid understanding of APIs, system integration, and distributed systems
 
 
 </li>
 </ul>
 
 AI Experience
 
 
 
 <ul>
 <li>
 Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
 </li>
 <li>
 Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
 </li>
 <li>
 Ability to assess where AI adds value and where it does not
 
 
 </li>
 </ul>
 
 Join our mission, join our team &ndash; and grow with us!
 
 
 
 At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
 
 
 As part of our team, you will benefit from:
 
 
 <ul>
 <li>
 Employee Development Budget of &euro;2,000 and four full training days per year.
 </li>
 <li>
 Flexible working hours, home office and 30 vacation days.
 </li>
 <li>
 A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
 </li>
 <li>
 Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.
 </li>
 <li>
 Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.
 </li>
 <li>
 Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
 </li>
 <li>
 Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
 </li>
 <li>
 You are moving from another country or city to join us? We may support your relocation.
 
 
 </li>
 </ul>
 
 Raisin Applicant Privacy Policy
 
 
 
 We value diversity and the unique experiences each individual brings. If you&rsquo;re excited about this role but don&rsquo;t meet every requirement, we still encourage you to apply.
 
 
 We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
</div>

<div><div>Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.

Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.</div><h2 class="jobSectionHeader">
Team</h2>

The AI Enablement team supports the adoption of AI capabilities across Raisin's products and internal systems.

The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.

The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.<h2 class="jobSectionHeader"> 

Your Responsibilities</h2>

As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
<h4 class="jobSectionHeader">
Enable teams to adopt AI effectively</h4>
Work with product and engineering teams to identify and refine AI use cases 
<ul><li>
</li>
Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches 
<li>
</li>
<li>Promote consistent and reusable solutions to reduce fragmentation across teams</li>
</ul><h4 class="jobSectionHeader">Contribute to shared capabilities where needed</h4>
Develop or extend shared components, integrations, or services when required to unblock teams 
<ul><li>
</li>
Define and implement patterns for integrating LLM capabilities into the platform 
<li>
</li>
Contribute to shared components or lightweight services that simplify access to AI capabilities across teams 
<li>
</li>
Manage AI costs and budget usage when providing shared model access and services to other teams. 
<li>
</li>
<li>Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases</li>
</ul><h4 class="jobSectionHeader">Guide technical decisions</h4>
Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability 
<ul><li>
</li>
Help teams choose appropriate solutions based on context rather than applying AI by default 
<li>
</li>
<li>Contribute to establishing a pragmatic and consistent approach to AI usage</li>
</ul><h4 class="jobSectionHeader">Ensure robustness and responsible usage</h4>
Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization 
<ul><li>
</li>
Support the implementation of safeguards such as access controls, validation, and monitoring 
<li>
</li>
Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage 
<li>
</li>
<li>Contribute to practices that ensure solutions are reliable and aligned with internal standards</li></ul> 

<h2 class="jobSectionHeader">
Your Profile</h2>
<h4 class="jobSectionHeader">Background</h4>
Strong experience as a Software Engineer (5+ years), with focus on backend or platform development 
<ul><li>
</li>
Strong generalist mindset, comfortable working across technical domains 
<li>
</li>
Experience working on production systems and collaborating across teams 
<li>
</li>
<li>Comfortable operating in environments with evolving scope and priorities</li>
</ul><h4 class="jobSectionHeader">Technical Skills</h4>
Proficiency in at least one programming language (Python preferred; JVM languages also relevant) 
<ul><li>
</li>
Experience with cloud environments (AWS preferred) 
<li>
</li>
<li>Solid understanding of APIs, system integration, and distributed systems</li>
</ul><h4 class="jobSectionHeader">AI Experience</h4>
Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies) 
<ul><li>
</li>
Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows 
<li>
</li>
<li>Ability to assess where AI adds value and where it does not</li></ul> 


Join our mission, join our team &ndash; and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:
<ul>
<li>Employee Development Budget of &euro;2,000 and four full training days per year.</li>
<li>Flexible working hours, home office and 30 vacation days.</li>
<li>A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.</li>
<li>Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.</li>
<li>Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.</li>
<li>Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.</li>
<li>Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.</li>
<li>You are moving from another country or city to join us? We may support your relocation.</li>
</ul><div>
Raisin Applicant Privacy Policy

We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.

We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.</div></div>

Langdock

<div>
 
 About Langdock
 
 
 
 We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio.
 
 
 We are model-agnostic, fully GDPR-compliant, and ISO 27001 &amp; SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator.
 
 
 
 About The Role
 
 
 
 AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in.
 
 
 As an
 
 AI Adoption Engineer
 
 in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering:
 
 discovering high-value use cases, scoping them, building them, and making sure they stick
 
 . You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own.
 
 
 This is a
 
 technical role
 
 . You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a AI Adoption Engineer, you set the standard for what that looks like.
 
 
 You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture.
 
 
 You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer.
 </li>
 <li>
 Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain.
 </li>
 <li>
 Serve as a technical expert during the Sales process: join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them. You are the person in the room who makes the product feel real for a technical buyer.
 </li>
 <li>
 Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently.
 </li>
 <li>
 Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects.
 </li>
 <li>
 Push the platform forward: identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps.
 </li>
 <li>
 Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 You have
 
 3+ years of experience in a technical, customer-facing role
 
 - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product.
 
 
 You have
 
 experience working with enterprise customers on high-impact use cases
 
 : scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift. You've also supported the sales side:
 
 building demos
 
 that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible.
 
 
 You are
 
 comfortable running workshops
 
 with senior stakeholders and following up with a sharp scoping document that aligns everyone afterwards. You know how to listen for the real problem behind a feature request. You translate complex technical concepts into language non-technical stakeholders understand, and turn customer needs into concrete, buildable specifications.
 
 
 You
 
 understand AI deeply
 
 and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You
 
 write production-quality code
 
 in JavaScript and Python, and are comfortable with HTML/CSS, APIs, and integration architectures. You can build an MCP server, design a multi-step agent workflow, or debug a customer's integration setup.
 
 Agentic coding tools are a core part of how you operate
 
 .
 
 
 You are fluent in
 
 English (C1+)
 
 .
 
 German is a strong plus
 
 , since many of our customers are German-speaking enterprises.
 
 
 
 Bonus
 
 : you come from a technical consulting background, an AI-native company, or an early-stage startup. Experience with enterprise software, developer tools, or platform products is a plus.
 
 
 
 How We Work
 
 
 
 <ul>
 <li>
 100% on-site in our Berlin office (Greifswalder Strasse 212)
 </li>
 <li>
 Small team, high ownership - we expect everyone to manage themselves, find valuable work, and pull others in when needed
 </li>
 <li>
 We value calm urgency: things break, we stay calm and fix them. No drama, no firefighting culture
 </li>
 <li>
 We value ambitious execution: learning, shipping, and providing value are big drivers of happiness here
 </li>
 <li>
 We value caring ownership: we are kind, we care about our customers and each other, and we have fun at work
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary with equity participation
 </li>
 <li>
 Free lunch and dinner, every day in the office
 </li>
 <li>
 Premium gym access (right around the corner)
 </li>
 <li>
 Relocation support for those moving to Berlin
 </li>
 <li>
 A front-row seat to the enterprise AI transformation - working with some of the most ambitious companies in Europe
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV.
 
 
 Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder interview) - Reference Call - Offer.
</div>

AI Adoption Engineer - m/f/d

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)

develop

<div>
 
 
 Software Engineer | Java, AWS | Berlin | &euro;70k - &euro;85k | German B2+
 
 
 
 
 
 
 We're looking for a talented Software Engineer with a strong background in Java and AWS to join a fast growing team in Berlin.
 
 
 
 
 
 In this role, you'll develop and maintain scalable backend applications, contribute to the design of new features, and work closely with product managers, QA, and fellow engineers to deliver high-quality software. We're looking for someone who enjoys solving technical challenges, writing clean, maintainable code, and collaborating in an agile environment.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain high-quality Java applications and backend services
 </li>
 <li>
 Build and enhance RESTful APIs and integrate with internal and external systems
 </li>
 <li>
 Collaborate with cross-functional teams to deliver new features from concept through to production
 </li>
 <li>
 Write clean, maintainable, and well-tested code following engineering best practices
 </li>
 <li>
 Participate in code reviews and contribute to technical discussions and architectural decisions
 </li>
 <li>
 Troubleshoot, debug, and optimise applications to ensure performance and reliability
 </li>
 <li>
 Support continuous improvement of development processes and engineering standards
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong commercial experience developing applications with Java
 </li>
 <li>
 Experience building RESTful APIs and backend services
 </li>
 <li>
 Strong cloud experience with AWS
 </li>
 <li>
 Familiarity with relational databases and modern software development practices
 </li>
 <li>
 Experience working in Agile/Scrum teams
 </li>
 <li>
 German language skills at B2 level or above (required)
 </li>
 <li>
 Strong communication skills and a collaborative mindset
 </li>
 </ul>
 
 
 
 
 If you're interested please get in touch ASAP!
 
 
 
 
</div>

Senior Software Engineer

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