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Experience Level
Mid to Senior
Qualifications
The ideal candidate should have:Strong proficiency in Python programmingExperience with AI frameworks like TensorFlow or PyTorchSolid understanding of machine learning conceptsAbility to work collaboratively in a team environmentExcellent problem-solving skills
About the job
scalablegmbh is seeking an AI Software Engineer with strong Python skills to help build and improve AI-driven products. This position is based in München and involves close collaboration with both data scientists and fellow engineers.
Role overview
This role centers on designing and implementing algorithms that support the company’s AI solutions. The focus is on practical development, using Python to turn ideas into working features that enhance existing products.
Collaboration
Work directly with data scientists and other engineers to bring AI concepts to life. Teamwork and clear communication are important, as projects often require input from multiple technical perspectives.
Requirements
Experience developing software in Python
Interest in AI and algorithm development
Ability to work effectively with technical teams
About scalablegmbh
scalablegmbh is a leading technology company based in München, focused on delivering scalable solutions powered by artificial intelligence. We foster a dynamic work environment that encourages innovation and personal growth.
Anyone AI is seeking experienced software engineers in Germany for a part-time, project-based role supporting a leading AI research lab. This position centers on expert evaluation and allows for fully remote work within Germany. Key responsibilities Design and complete multi-file coding tasks, such as bug fixes, new features, refactoring, and testing Write d…
Role Overview machinelearningreply is looking for an Agentic AI Software Engineer to join the team in Munich, Bayern. This role centers on building intelligent, production-ready systems using large language models (LLMs), autonomous agents, and scalable cloud infrastructure. The position involves close collaboration with clients to deliver practical AI solutions, with a focus on agentic and generative AI applications. Main Responsibilities Design, develop, and deploy scalable systems on cloud platforms such as AWS, GCP, or Azure. Build and manage agentic AI systems, emphasizing multi-step workflows, tool integration, and autonomous decision-making. Lead the implementation of AI-driven features from proof of concept through to production deployment. Create high-performance APIs and backend services for AI applications using frameworks like FastAPI, Flask, or Spring Boot. Integrate generative AI technologies, including LLMs, vector databases, RAG pipelines, and orchestration frameworks (such as LangChain or LangGraph), into enterprise environments. Design and maintain orchestration and retrieval pipelines to support scalable AI applications. Set up and manage MLOps and LLMOps pipelines, along with CI/CD workflows for integration, evaluation, and deployment. Ensure software quality through thorough testing, monitoring, observability, and performance tuning. Work closely with clients and cross-functional teams to gather requirements and deliver effective AI solutions. What machinelearningreply Offers Opportunities to contribute to innovative AI and software engineering projects across sectors such as Banking, Insurance, Automotive, and Retail. Growth in areas like MLOps, cloud architecture, data engineering, and generative AI. Collaboration with leading technology partners in cloud computing, AI, and automation. Access to training, certifications, and interdisciplinary project work.
Join our innovative team as an Agentic AI Software Engineer. We are seeking a talented and driven individual who possesses a strong foundation in software engineering, complemented by practical experience with cutting-edge AI technologies. Your role will involve partnering with clients to design and implement sophisticated, production-ready systems that utilize LLMs, autonomous agents, and scalable cloud infrastructure.Key Responsibilities:Architect, develop, and deploy scalable, production-grade applications on leading cloud platforms such as AWS, GCP, or Azure.Create and manage agentic AI frameworks, incorporating multi-step workflows, tool integrations, and autonomous decision-making capabilities.Oversee the complete lifecycle of AI feature implementation, from proof of concept to full-scale deployment.Develop high-performance APIs and backend services for AI applications using technologies like FastAPI, Flask, or Spring Boot.Integrate generative AI solutions, including LLMs, vector databases, and RAG pipelines, into enterprise environments.Design and implement robust orchestration and retrieval mechanisms for scalable AI applications.Establish and maintain MLOps/LLMOps pipelines and CI/CD workflows for seamless integration, evaluation, and deployment.Ensure software quality through rigorous testing, monitoring, observability, and performance tuning.Collaborate effectively with clients and cross-functional teams to gather requirements and deliver impactful AI solutions.
Anyone AI is actively seeking talented software engineers to join our team as project consultants. This role offers the opportunity to engage in innovative AI-driven projects while working remotely from anywhere in Germany.Role Overview: As a consultant, you will be responsible for designing and assessing realistic software engineering tasks, which include bug fixing, feature implementation, refactoring, and test generation. Your expertise will be pivotal in creating complex coding scenarios and reviewing submissions for quality and accuracy.
About RealistRealist is a pioneering WealthTech startup located in Germany, dedicated to revolutionizing the financial sector with state-of-the-art technology, insightful data analytics, and robust financial infrastructure. As we enhance our platform and technological capabilities, we are in search of a seasoned Senior Software Engineer to join our expanding team in Berlin and contribute to the creation of next-generation financial systems.About the RoleIn the capacity of Senior Software Engineer, you will be instrumental in designing and developing high-performance financial systems that efficiently handle vast quantities of data in a secure manner. You will collaborate closely with product, engineering, and data teams to architect scalable systems and aid in the development of intelligent, AI-driven financial applications.This position demands substantial experience in backend engineering, distributed systems, and data-intensive architectures, combined with a mindset conducive to a dynamic startup environment. We are particularly interested in candidates who are quick learners, capable of swiftly adapting to new technologies and evolving challenges.Key ResponsibilitiesDesign, develop, and maintain scalable backend systems that support data-intensive financial applications.Build and optimize high-performance OLTP systems for transaction-heavy workloads.Contribute to system architecture and design, ensuring reliability, scalability, and maintainability.
jobgether is hiring a Senior Software Engineer to help build AI SaaS solutions. This position is based in Germany and focuses on developing software that uses artificial intelligence to solve real business problems. Role overview This role centers on designing and implementing features for AI-driven SaaS products. As part of the engineering team, you will contribute to projects that influence how software is built and used in the future. What you will do Develop and maintain software for AI SaaS applications Collaborate with team members to deliver impactful solutions Work on projects that aim to advance the field of software engineering Who we are looking for Experience in software engineering, ideally with AI or SaaS products Interest in new technology and a drive to create practical solutions Comfort working in a collaborative team environment
Part-time|$60/hr - $60/hr|Remote|Remote — Stuttgart, Baden-Württemberg, Germany
Join Mindrift as an AI Workflow Engineer and contribute to the Tendem project. We are developing cutting-edge intelligent automation systems powered by large language models (LLMs) in a hybrid AI + human environment.In this role, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents to streamline repetitive tasks. Your structured thinking, prompt engineering expertise, and commitment to quality control will be critical in delivering scalable, reliable AI-driven workflows.This part-time remote position is ideal for professionals with practical experience in LLM integrations, prompt design, and AI-powered automation systems.
About Our ClientFounded in Canada in 2015, our client has rapidly expanded to encompass a global portfolio of over 118 companies. They specialize in acquiring and developing vertical market software firms, empowering each business to deliver top-notch mission-critical solutions tailored to their industry's needs. A cornerstone of our client's philosophy is to invest in well-established enterprises while cultivating an entrepreneurial atmosphere that transforms these companies into industry leaders. Their strategic approach focuses on building long-term partnerships with existing management to create and enhance value.About the RoleAs the AI Engineering Lead, you will assume a pivotal leadership role in defining and executing the company's AI strategy. You will be responsible for the practical integration of AI across our client's engineering framework, enhancing internal development and testing processes to improve efficiency and quality. Additionally, you will oversee the development of AI-driven product features that provide tangible benefits to users. In this position, you will ensure alignment between engineering, product management, and data science teams, translating innovative ideas into actionable solutions and guiding teams to unlock their full potential through effective AI integration.Key Responsibilities AI Strategy & Vision: Develop a comprehensive AI roadmap that aligns with business objectives; identify opportunities for AI/ML applications in internal workflows (e.g., code generation, automated testing, monitoring); collaborate with product leadership to design and implement AI-enhanced product features. AI Integration into Engineering Practice: Spearhead the deployment of AI tools within the Software Development Life Cycle (SDLC) (e.g., GitHub Copilot, CodeWhisperer, Tabnine); automate unit testing, static code analysis, and regression testing leveraging AI; guide the application of AI in CI/CD pipelines for improved monitoring, alerting, and predictive operations. AI Product Development: Design and oversee the creation of AI/ML models and AI-enhanced product features; ensure adherence to best practices in AI/ML, including model training, data governance, validation, and ethics; select and manage the necessary infrastructure (e.g., cloud GPU/TPU, model operations platforms like MLflow or Vertex AI). Team Leadership & Cross-Function Collaboration: Lead a team of AI engineers, data scientists, and MLOps personnel; collaborate with product, design, and stakeholders to ensure AI features align with user value; mentor engineering teams on responsible AI usage, prompt engineering, and model comprehension. Governance & Compliance: Establish standards for responsible and explainable AI; ensure compliance with regulatory and ethical guidelines (e.g., GDPR, fairness, transparency); monitor model performance to prevent drift or unintended behaviors.
Anyone AI is seeking talented Full-Stack Developers to join an innovative project collaborating with a prestigious AI lab.Qualifications:Fluent written and spoken English at an advanced professional level.3 to 7 years of hands-on software engineering experience.Expertise in Python along with strong skills in JavaScript or TypeScript; familiarity with Java, C#, or Go is a plus.Proven experience in backend or full-stack development within production environments.Knowledge of testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing.Demonstrated ability to debug and manage extensive multi-file codebases.Experience in conducting code reviews, refactoring, and managing production migrations.Engagement: This is a part-time, project-based consulting role.Work Type: Remote.As a contributor, your tasks will include designing and assessing realistic software engineering challenges, focusing on bug resolution, feature implementation, refactoring, and test generation. This involves creating intricate coding scenarios and evaluating peer submissions for quality and accuracy.This consultancy is project-based, with compensation determined per project; hourly rates are estimates based on expected completion times. Consultants have flexibility in scheduling, provide their own tools, and may engage with other clients concurrently (subject to their agreements).Responsibilities:Contributors will be responsible for:Designing and executing coding tasks that span bug fixing, feature development, refactoring, and testing.Drafting clear specifications and reference implementations in natural language.Developing and enhancing unit and integration test suites.Reviewing tasks created by peers for accuracy, clarity, and realism.Identifying edge cases, ambiguities, and potential failure scenarios.Ensuring that specifications, code, and expected outputs are consistent.Expected Outcomes:Delivering high-quality, production-ready code and specifications.
About Us Zeta Global (NYSE: ZETA) stands at the forefront of marketing innovation as an AI-Powered Marketing Cloud. We harness cutting-edge artificial intelligence and vast consumer data to empower marketers in acquiring, nurturing, and retaining customers more effectively. Through our Zeta Marketing Platform (ZMP), we aim to simplify complex marketing strategies by integrating identity, intelligence, and omnichannel activation into one cohesive solution, supported by one of the industry’s most extensive proprietary databases. Our enterprise clients from various sectors can deliver personalized consumer experiences across all channels, achieving superior marketing outcomes. Founded in 2007 by David A. Steinberg and John Sculley, we are headquartered in New York City with offices worldwide. Discover more at www.zetaglobal.com. The Role As a Senior Software Engineer, you will lead technical initiatives within the team responsible for architecting, developing, and managing the Addressability segment of the Zeta Marketing Platform. You will work closely with engineers, product managers, and executives to define a strategic roadmap and execute projects that will create the next generation of comprehensive, multichannel marketing solutions, enabling data integration across digital touchpoints and enhancing marketing ROI. This role involves designing and developing real-time systems within the Zeta Marketing Platform and LiveIntent, focusing on technologies that facilitate access to our core Identity Solutions. You will also mentor a team of developers through knowledge-sharing sessions that enhance their skills and expertise. The ideal candidate will possess a deep understanding of distributed systems and cloud architecture, extensive design and development experience, and a passion for working with large-scale data while crafting reliable low-latency data processing systems. This is a hybrid position based in our Berlin office.
Anyone AI is seeking Backend Developers to join project-based consulting work with a prominent AI research lab. This remote, part-time role centers on designing and evaluating realistic software engineering tasks for AI training, with a focus on backend systems. Role overview As a Backend Developer – AI Trainer, the position involves crafting and reviewing coding scenarios that mirror real-world engineering challenges. Typical tasks include bug resolution, feature implementation, refactoring, and test creation. The work will also require reviewing peer submissions to ensure they meet quality standards. What you will do Create and implement multi-file coding tasks, including bug fixes, new features, refactoring, and test generation. Draft clear, natural language specifications and provide reference implementations. Develop and expand unit and integration test suites. Review peer-generated tasks for accuracy, clarity, and feasibility. Identify edge cases, ambiguities, and potential failure points. Ensure specifications, code, and outputs remain consistent and aligned. Requirements Professional fluency in written English and strong communication skills. 3 to 7 years of hands-on experience in software engineering. Advanced knowledge of Python and JavaScript or TypeScript, plus working familiarity with Java, C#, or Go. Experience in backend or full-stack development in production environments. Proficiency with testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing tools. Ability to debug and work within large, multi-file codebases. Comfort with code reviews, refactoring, and production migrations. Engagement details Part-time, project-based consulting Remote work Location: Germany Expected outcomes Deliver high-quality, production-ready outputs for AI training and evaluation.
scalablegmbh is seeking an AI Software Engineer with strong Python skills to help build and improve AI-driven products. This position is based in München and involves close collaboration with both data scientists and fellow engineers. Role overview This role centers on designing and implementing algorithms that support the company’s AI solutions. The focus is on practical development, using Python to turn ideas into working features that enhance existing products. Collaboration Work directly with data scientists and other engineers to bring AI concepts to life. Teamwork and clear communication are important, as projects often require input from multiple technical perspectives. Requirements Experience developing software in Python Interest in AI and algorithm development Ability to work effectively with technical teams
Join our dynamic Data Science team as an AI Software Engineer, where you will be instrumental in designing and implementing scalable backend and cloud systems that drive our innovative AI-powered products and services.Your role will involve creating and developing robust, production-ready systems and APIs, focusing on seamlessly integrating advanced AI capabilities through APIs from leading providers like OpenAI, Anthropic, and Google into practical applications.Instead of building models from scratch, you will engage with agentic AI systems, orchestration workflows, and cloud-native architectures to bring AI solutions to life at scale. This newly established work stream offers you a unique chance to lay the groundwork and define the technical vision.Key Responsibilities:Design, develop, and maintain AI/LLM services for internal use and client-facing applications, adhering to software engineering best practices.Architect and implement scalable AI-enabled solutions on AWS.Enhance our Terraform infrastructure and CI/CD pipelines.Create and implement testing and monitoring components to ensure the accuracy, reliability, and performance of AI-integrated systems.Utilize modern agentic workflow orchestration frameworks (like LangGraph) to build intelligent workflows.Work collaboratively with cross-functional teams to ensure seamless integration of AI-driven features into our products.Stay current with the latest trends in AI integration, cloud architecture, and scalable backend systems.
Contract|$45/hr - $45/hr|Remote|Remote — Stuttgart, Baden-Württemberg, Germany
We kindly request that you submit your CV in English and specify your English proficiency level.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities at leading tech companies, with a focus on testing, assessing, and enhancing AI systems. This is a project-based role, not a permanent position.Opportunity OverviewEach project comes with its own set of unique tasks. Contributors may be responsible for:Creating original optics problems that accurately reflect real-world physics research workflows;Ensuring that these problems are computationally intensive and cannot be resolved manually within a practical timeframe (days/weeks);Designing problems that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Rooting problems in actual research challenges or practical applications from the fields of optics and physics;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is well-suited for optical engineers who are open to part-time, non-permanent project work. We are looking for candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;A minimum of 2 years of relevant experience in applied research or education;Familiarity with numerical simulation techniques;The capability to design problems that mirror genuine physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation methodologies;Strong written English skills (C1 level or higher).Workflow ProcessSteps include: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentFor this project, tasks are estimated to require approximately 10 to 20 hours per week during active phases, depending on project demands. This is an estimate, not a guaranteed workload, and applies only while the project is ongoing.CompensationContributors can earn up to $45 per hour, based on their contribution level and pace. Compensation may vary across projects depending on their scope, complexity, and required expertise. Please note that other projects on our platform may offer different earning potentials based on their specific requirements.
About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower clients to seamlessly integrate our cutting-edge coding tools throughout their software development lifecycle. As trusted technical partners, we collaborate closely with engineering teams to incorporate Codex into their workflows. Our diverse clientele ranges from agile digital-native startups to large-scale global enterprises, and together, we enhance their software planning, building, and delivery processes.Role OverviewWe are on the lookout for an innovative and technically adept AI Deployment Engineer who is an enthusiastic user of AI coding tools and is driven to elevate developer productivity. In this role, you will work hand-in-hand with engineering leaders and practitioners to design, validate, and scale sophisticated AI workflows, employing Codex to prototype and create demonstrations, integrations, and automations that our customers will adopt.This cross-functional position merges technical architecture, product strategy, and customer engagement. You will collaborate with Sales, Solutions Engineering, Product, Applied Engineering, and the larger Codex team to represent customer needs, influence product direction, and expedite the successful implementation of intelligent coding systems across influential organizations globally.Key ResponsibilitiesAct as the primary technical expert on OpenAI Codex for a select group of customers, deeply embedding yourself to empower their engineering teams and enhance coding workflows.Collaborate closely with customers to design and execute AI-enhanced development workflows, from rapid prototyping to scalable production implementations.Create high-quality demos, reference implementations, and workflow automations, using Codex as an integral part of your development process.Facilitate large-scale workshops, technical deep dives, and practical enablement sessions that help engineering organizations effectively and safely adopt AI coding tools.Contribute technical resources, including examples, guides, patterns, and best practices, to the OpenAI Cookbook, aiding the wider developer community in leveraging Codex.Collect detailed product feedback from real customer deployments to translate into actionable product proposals and insights for internal teams.Shape customer strategy and influence decision-making by elucidating the role of AI coding tools in their software development lifecycle.
Full-time|On-site|Munich - Berlin - London - Paris - Warsaw - Tallinn; Stockholm
About UsAt Helsing, we are dedicated to defending democracies through cutting-edge AI technology. Our mission is to foster technological leadership, ensuring that open societies can make sovereign decisions and maintain their ethical standards.As advocates for democracy, we recognize our unique responsibility in the ethical development and deployment of powerful technologies like AI. We take this responsibility seriously, striving to ensure that our solutions are aligned with these values.Our team comprises passionate engineers, AI specialists, and customer-focused program managers. We are on the lookout for mission-driven individuals to join our European teams and leverage their expertise to tackle complex, impactful challenges. We foster an open and transparent culture that encourages healthy discussions about the ethical implications and benefits of technology in defense.The RoleYou will collaborate closely with our vibrant team of product designers and engineers, playing a crucial role in shaping the frontend architecture at Helsing. With a hands-on approach, you will not only lead by example but also guide the development and growth of a cohesive team that spans various internal teams and product lines. Your primary focus will be on enhancing usability, creating reusable frameworks for multiple front-ends, and optimizing the end-user experience across the organization.The Day-to-DayEngage in collaborative projects with product designers to create user-friendly interfaces.Implement best practices for frontend development, ensuring optimal performance and usability.Work across diverse teams to develop solutions that meet user needs and business objectives.
At Viktor, we are revolutionizing workplace efficiency with our AI coworker that seamlessly integrates with platforms like Slack and Microsoft Teams. Our technology connects to a multitude of tools, streamlining functions in finance, marketing, operations, and engineering. We are on a mission to replace a significant portion of the SaaS stack with a single intelligent teammate.Our team is compact yet impactful, providing the opportunity for significant contributions and innovations.The RoleAs an AI Engineer, you'll be at the forefront of developing Viktor. Imagine a scenario where a user requests Viktor to reconcile their Stripe payouts with their financial records. Viktor accomplishes this in real time, within a minute, leading to increased customer referrals and signups.Your primary responsibility will be to enhance Viktor's capabilities, ensuring it serves more clients effectively and reliably. Your work will set the standard for others to follow.Based in Munich, you'll collaborate closely with both founders, taking ownership of critical product areas, and witness your contributions go live the very same day.What You'll DoDevelop the agent runtime: Focus on sandboxed execution, tool orchestration, and memory management, transforming Slack commands into actionable API requests.Implement integrations: Connect Viktor to a wide array of tools including Salesforce, Notion, Stripe, QuickBooks, and more, utilizing OAuth, webhooks, and error handling to enhance customer experiences.Manage infrastructure: Oversee the processing of over 600,000 tool calls daily, ensuring efficiency through container orchestration and autoscaling.Release product features: Deliver functionality that users can access via Slack and Teams, allowing you to see immediate impacts from your work.Adapt to needs: Join a small team where you'll tackle various challenges not limited to the job description.How You'll Know You're SucceedingYou will consistently ship code to production, with your contributions reflecting in the changelog. Your features will directly contribute to customer success, and when challenges arise at any hour, your understanding of the system will enable you to address them efficiently. As your expertise grows, you'll take over responsibilities previously held by the founders.What We're Looking ForProficient coding skills: A strong commitment to AI-assisted development and experience with agent-based architectures and parallelized workflows.
scalablegmbh is seeking an AI Software Engineer with a strong background in Python to join the team in Berlin. This position centers on building AI solutions that support a range of projects and drive progress within the company. Role overview The AI Software Engineer will use Python to design and implement AI-driven features. Collaboration with colleagues is essential, as projects often require joint problem-solving and creative thinking. The work involves addressing technical challenges and contributing to the ongoing development of AI technologies at scalablegmbh. What you will do Develop AI solutions using Python Work closely with team members to deliver project goals Contribute ideas and technical expertise to shape future AI initiatives Requirements Experience with Python in AI-focused projects Enjoy working in a collaborative setting Motivation to solve complex problems and advance AI technology
Join our innovative Data Science team as an AI Software Engineer, where you'll play a pivotal role in designing and implementing robust backend and cloud solutions that drive our AI-powered products and services.Your primary focus will be on creating scalable, production-ready systems and APIs that integrate cutting-edge AI capabilities from providers such as OpenAI, Anthropic, and Google into practical applications.Rather than starting from scratch, you will enhance agentic AI systems, develop orchestration workflows, and build cloud-native architectures to deploy AI at scale. This newly established work stream provides a unique opportunity to establish foundational elements and guide the technical direction of our projects.Key ResponsibilitiesDesign, develop, and maintain AI and LLM services for internal and client-facing applications, adhering to software engineering best practices.Create and implement architectures for deploying scalable AI-enabled solutions on AWS.Enhance our Terraform infrastructure and CI/CD workflows.Develop testing and monitoring components to ensure the precision, reliability, and performance of AI-integrated systems.Utilize modern agentic workflow orchestration frameworks (e.g., LangGraph) to craft intelligent workflows.Collaborate with multidisciplinary teams to ensure seamless integration of AI-driven features into our products.Keep abreast of the latest advancements in AI integration, cloud architecture, and scalable backend systems.
Full-time|On-site|Munich - Berlin - London - Paris - Warsaw - Tallinn
Who We Are Helsing is a pioneering defense AI company dedicated to safeguarding our democracies. Our mission is to attain technological leadership, ensuring that open societies can make sovereign decisions and uphold their ethical standards. As participants in democratic societies, we recognize our unique responsibility to thoughtfully navigate the development and deployment of powerful technologies such as AI. We take this responsibility with utmost seriousness. We are a dedicated team of engineers, AI specialists, and client-facing program managers seeking mission-driven individuals to join our European teams and leverage their skills to tackle some of the most complex and impactful challenges. Our culture embraces transparency and open dialogue regarding the use of technology in defense, its advantages, and its ethical considerations. The Role As a Deployed AI Engineer, you will play a crucial role in ensuring that software makes a significant impact. You will be responsible for integrating cutting-edge software into complex systems, defining and executing the end-to-end process to deliver innovative capabilities in some of the most demanding environments. For instance, you will work closely with customer avionics engineers to comprehend the data structures and APIs utilized in aircraft mission control systems. Your contributions will be instrumental in enhancing our operational effectiveness.
