artificial intelligence engineer

BIT Capital

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

AI Engineer (m/f/d)

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>

REPLY

<div><div>Aufgaben<div><ul><li>
Als Teil unseres innovativen und internationalen Teams &uuml;bernimmst du Verantwortung bei der Realisierung innovativer AI- und GenAI-Anwendungen in unterschiedlichsten Branchen</li><li>
Dies umfasst den eigenverantwortlichen Entwurf, die Entwicklung und Integration GenAI-gest&uuml;tzter, Cloud-nativer Anwendungen unter Einsatz von Amazon Web Services, Microservices auf Basis von Serverless Applications mit AWS Lambda und Amazon API Gateway, Containertechnologien (z.B. Docker, K8s, EKS, Fargate) sowie DevOps-Prinzipien / Infrastructure as Code (AWS CDK, Terraform, CloudFormation), mit denen du Projekte in den reibungslosen Betrieb &uuml;berf&uuml;hrst</li><li>
Du konzipierst und implementierst RAG-Architekturen mit Vektordatenbanken (z.B. Amazon OpenSearch Service, Aurora PostgreSQL mit pgvector), entwickelst Agenten-basierte Systeme und Agent-Orchestrierungen mit Amazon Bedrock und modernen Agent-Frameworks, bindest Tools und Datenquellen &uuml;ber das Model Context Protocol (MCP) an und integrierst Foundation Models sicher und kosteneffizient in die Anwendungslandschaften unserer Kunden</li><li>
Du verantwortest die Anforderungsdefinition mit unseren Kunden und unterst&uuml;tzt aktiv bei der Erstellung von Angeboten</li><li>
Du arbeitest im Rahmen agiler Projekte und entwickelst dich im engen Austausch mit unseren erfahrenen Engineers kontinuierlich weiter</li></ul></div></div><div>
Benefits<ul><div><div><div>
SPORTZUSCHUSS</div></div></div><div><div><div>
MODERNE TECHNOLOGIEN</div></div></div><div><div><div>
HYBRIDES ARBEITEN</div></div></div><div><div><div>
COMPANY EVENTS</div></div></div></ul><div><ul><li>
Bei uns kannst du deine Ideen einbringen und die Weiterentwicklung der Firma mitgestalten</li><li>
Wir bieten dir einen modernen Arbeitsplatz mit super Hardware (nach Wahl) und eine internationale und famili&auml;re Arbeitsumgebung mit flachen Hierarchien. Bei uns l&auml;sst sich der Job gut mit der Familie verbinden</li><li>
Bei uns kannst du ein JobRad bekommen, wir beteiligen uns an deinen sportlichen Aktivit&auml;ten und &uuml;ber die Reply Gruppe bekommst du Zugriff auf zahlreiche weitere Benefits</li><li>
Team Building ist bei uns ein wichtiger Faktor: Im Jahr finden diverse Events statt</li></ul></div></div><div>
Qualifikationen<div><ul><li>
Wir freuen uns auf dein erfolgreich abgeschlossenes Hochschulstudium in Informatik, Ingenieurwesen, Mathematik, Physik oder einem vergleichbaren technischem Studiengang mit erster Berufserfahrung (bis zu 3 Jahre) als AI/ML Engineer</li><li>
Sehr gute Kenntnisse der AWS &mdash; AWS und KI Zertifizierungen (Associate-Level oder h&ouml;her) sind ein Plus</li><li>
Sehr gute Kenntnisse g&auml;ngiger Programmier- und Skriptsprachen (Python, Typescript / JavaScript, Java) und Erfahrung in mehreren Bausteinen des nachfolgenden Tech- und Toolstacks: Node.JS / NPM, Vue.JS, Nuxt.JS, Spring, JUnit, Jest, Mocha, Lodash, Git, Github Actions, Bitbucket Pipelines, AppSync (GraphQL), Amazon API Gateway, AWS Lambda, Infrastructure as Code (AWS CDK, Terraform), sowie SQL und NoSQL Datenbanken (z.B. Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon Timestream)</li><li>
Praktische Erfahrung mit Generativer KI und LLMs - insbesondere mit GenAI-Architekturen und ihren Bausteinen wie RAG, Agent-Orchestrierung und Model Context Protocol (MCP) -, AWS AI-Services (z.B. Amazon Bedrock, Amazon SageMaker), Agent-Frameworks (z.B. Strands Agents SDK, LangChain / LangGraph, CrewAI, Vercel AI SDK) sowie mit AI-gest&uuml;tzter und agentischer Softwareentwicklung (z.B. Claude Code, Amazon Q Developer, GitHub Copilot)</li><li>
Erfahrung im Requirements Engineering und in der &Uuml;bersetzung fachlicher Anforderungen in technische L&ouml;sungen</li><li>
Sehr gute Kommunikationsf&auml;higkeit in deutscher und englischer Sprache sowie Bereitschaft zu gelegentlichen Reisen runden dein Profil ab</li></ul></div></div><div>
Develop yourself and the digital future &ndash; at Reply!<div>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</div></div></div>

AI ENGINEER — GENAI & AGENTIC SOLUTIONS (M/W/D) AMAZON WEB SERVICES

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>

Code Compass 🧭

<div>
 
 🤖 Machine Learning Engineer &ndash; Computer Vision &amp; Generative AI &ndash; 100%
 
 
 
 
 
 📍 Berlin, Germany | 💰 &euro;50,000 - &euro;70,000 + Benefits | 🌍 Hybrid Working
 
 
 
 
 
 Our client is a technology-driven organisation developing intelligent software solutions that leverage artificial intelligence, automation, and advanced data processing to solve complex business challenges at scale.
 
 
 
 
 
 Operating at the intersection of machine learning, software engineering, and product innovation, they are investing heavily in next-generation AI capabilities and expanding their engineering team to support the continued evolution of their platform and services.
 
 
 
 
 
 This role is ideal for a Machine Learning Engineer who enjoys taking cutting-edge AI solutions from research to production and wants to work on technically challenging projects with tangible real-world impact.
 
 
 
 
 
 ⚙️ Tech Stack:
 
 
 Python, PyTorch, TensorFlow, Computer Vision, Generative AI, Diffusion Models, GANs, Image Processing, Machine Learning, Docker, Cloud Platforms, Production ML Systems, Automation, AI Workflows
 
 
 
 
 
 🚀 About the Role:
 
 
 
 
 <ul>
 <li>
 As a Machine Learning Engineer, you will:
 </li>
 <li>
 Develop, train, and optimise machine learning models focused on computer vision and generative AI applications
 </li>
 <li>
 Build and deploy scalable ML solutions into production environments
 </li>
 <li>
 Design automation solutions that reduce manual effort and improve operational efficiency
 </li>
 <li>
 Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy
 </li>
 <li>
 Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions
 </li>
 <li>
 Research emerging technologies and rapidly evaluate their suitability for business applications
 </li>
 <li>
 Contribute to the evolution of production-grade machine learning infrastructure and workflows
 </li>
 </ul>
 
 
 
 
 ➕ Nice to Have:
 
 
 
 
 <ul>
 <li>
 Several years of hands-on experience within machine learning and computer vision
 </li>
 <li>
 Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Practical experience working with generative AI technologies including diffusion models and GANs
 </li>
 <li>
 Understanding of ML deployment, scalability, performance optimisation, and production environments
 </li>
 <li>
 Experience with Docker and cloud-based infrastructure
 </li>
 <li>
 Knowledge of creative AI tools and visual content workflows
 </li>
 <li>
 Experience working with image-based products, digital content platforms, or related industries
 </li>
 <li>
 Strong analytical thinking combined with a pragmatic, solution-oriented mindset
 </li>
 <li>
 Ability to communicate effectively in an international and cross-functional environment
 </li>
 </ul>
 
 
 
 
 💪 Benefits:
 
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI and machine learning technologies
 </li>
 <li>
 Highly collaborative and innovative working environment
 </li>
 <li>
 Flexible working arrangements with hybrid options
 </li>
 <li>
 Exposure to challenging technical problems with real-world impact
 </li>
 <li>
 Professional development support, training, and continuous learning opportunities
 </li>
 <li>
 Modern working environment with strong team culture and regular social activities
 </li>
 </ul>
 
 
 
 
 
 ✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.
 
 
</div>

Machine Learning Engineer

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.
 
 
 Tasks
 
 
 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:
 
 
 
 &bull; Building cloud-native infrastructure and deployment pipelines
 
 
 
 &bull; Designing and developing scalable backend services and APIs
 
 
 
 &bull; Building dashboards, analytics systems and internal tools
 
 
 
 &bull; Developing industrial data pipelines for machine, sensor and camera data
 
 
 
 &bull; Supporting edge-to-cloud communication and industrial integrations
 
 
 
 &bull; Supporting AI model deployment, monitoring and inference workflows
 
 
 
 &bull; Structuring textile production data, defect classifications and sustainability KPIs
 
 
 
 &bull; Working directly with pilot factories and industrial partners
 
 
 
 &bull; Contributing to product architecture and technical strategy
 
 
 Requirements
 
 
 Strong software engineering background
 
 
 
 &bull; Strong Python and C++ programming skills
 
 
 
 &bull; Experience with FastAPI, Django, Flask, Node.js or similar frameworks
 
 
 
 &bull; Experience with PostgreSQL or similar database systems
 
 
 
 &bull; Experience with Docker and containerized environments
 
 
 
 &bull; Experience with AWS, Azure or Google Cloud
 
 
 
 &bull; Understanding of REST APIs and scalable software architectures
 
 
 
 &bull; Fluent English
 
 
 
 &bull; Ability to work independently in an early-stage startup environment
 
 
 
 Preferred Qualifications
 
 
 
 &bull; Located in Berlin or willing to relocate to Berlin
 
 
 
 &bull; Professional working proficiency in German (prior work experience in a German-speaking environment preferred)
 
 
 
 &bull; Experience with Computer Vision and Machine Learning systems (using frameworks such as PyTorch, TensorFlow or ONNX)
 
 
 
 &bull; Experience with MLOps and model deployment pipelines
 
 
 
 &bull; Experience with Edge AI deployments (NVIDIA Jetson, CUDA or TensorRT)
 
 
 
 &bull; Experience with Industrial IoT, PLC/SCADA systems or manufacturing environments
 
 
 
 &bull; Startup or founding-team experience
 
 
 
 &bull; Interest in textile manufacturing, sustainability and Industry 4.0
 
 
 Benefits
 
 
 &bull; 10% equity participation as a founding team member
 
 
 
 &bull; Approx. &euro;2,500/month through the German Federal EXIST Startup Grant during the first year
 
 
 
 &bull; Significant compensation increase planned following successful MVP validation and funding milestones
 
 
 
 &bull; Opportunity to build a deep-tech startup from day one
 
 
 
 &bull; Direct impact on product, technology and company strategy
 
 
 
 &bull; Access to real industrial production environments and pilot textile factories
 
 
 
 &bull; Work on AI, Computer Vision, Edge AI, Industrial IoT and Sustainability Intelligence
 
 
 
 &bull; Direct collaboration with experienced founders, academic advisors and industry partners
 
 
 
 &bull; Startup coaching, legal support and mentoring through EXIST and ProFIT Berlin
 
 
 
 &bull; Opportunity to shape both the product and company from an early stage
 
 
 
 &bull; Flexible working environment
 
 
 
 &bull; Potential CTO-level growth opportunities as the company scales
 
 
 
 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:
 
 
 
 &bull; Your CV
 
 
 
 &bull; LinkedIn profile
 
 
 
 &bull; A short introduction explaining why you are interested in joining NexTex AI
 
 
 
 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)

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