Senior Software Engineer - Renewable Energy Solutions

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

About the Role CHECK24 is hiring a Senior Fullstack Software Engineer (m/f/d) focused on AI solutions for its InsurTech platform in Hamburg. This position sits within the App & Web Full Stack team and involves building and improving applications that use artificial intelligence to advance the insurance sector. What You Will Do Design, develop, and optimize applications that integrate AI technologies for insurance products Work on both front-end and back-end features, ensuring smooth user experiences and reliable system performance Collaborate closely with team members to deliver high-quality software Participate in DevOps tasks to support deployment and operations Location This role is based in Hamburg.

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 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 detailed specifications in natural language and supply reference implementations Develop and enhance unit and integration test suites Review tasks created by peers for accuracy, clarity, and realism Identify edge cases, ambiguities, and potential failure points Verify alignment between specifications, code, and expected outcomes Requirements Exceptional written English 3–7 years of professional software engineering experience Strong skills in Python and JavaScript or TypeScript; familiarity with Java, C#, or Go is a plus Experience in backend or full-stack development for production systems Comfort with testing frameworks like pytest, Jest, JUnit, xUnit, or Go testing tools Advanced debugging abilities in large, multi-file codebases Background in code reviews, refactoring, and handling production migrations What success looks like Consistently delivers production-ready code and thorough documentation Work arrangement Part-time, project-based contract Remote within Germany

At Intercom, we are revolutionizing customer service through innovative AI solutions, striving to empower businesses to deliver exceptional customer experiences.Our flagship AI agent, Fin, is the most advanced customer service AI available, enabling businesses to provide round-the-clock, flawless service and significantly enhance customer interactions. Fin seamlessly integrates with our Helpdesk, creating an all-encompassing solution known as the Intercom Customer Service Suite, designed to tackle complex queries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is setting a new benchmark for customer service. Our core values drive us to push boundaries, operate with speed, and deliver unparalleled value to our clients.We believe in the importance of speed, and Berlin epitomizes this with its unique combination of technical expertise and vibrant creative culture. It is a globally connected city, closely situated to our R&D hubs in Dublin and London, making it the ideal environment for top-tier technical talent to flourish and collaborate on ambitious projects.This year, we aim to expand our Berlin team by hiring 100 professionals in engineering, AI, data science, product, and design. Joining us now means becoming part of the foundational R&D team in this region, allowing you to leave a lasting impact as we develop the world's leading customer agent!What’s the opportunity?We are seeking Senior Product Engineers to join our AI Group, focusing on the development of Intercom’s AI-driven products. As a Product Engineer in machine learning, you will collaborate closely with our ML Scientists and product teams, gaining a deep understanding of our products, customer needs, and our ML tech stack.Your role will involve defining innovative ML features, researching suitable algorithms, and rapidly deploying prototypes to our customers. Our team is highly product-focused, working in partnership with Product and Design teams to expedite our production processes. Thanks to our dedicated engineering team, we frequently transition from successful offline tests to production within weeks.We are passionate about leveraging machine learning technology, having productized everything from classic supervised models to groundbreaking unsupervised clustering algorithms and transformative applications of transformer neural networks. We rigorously test and measure the real customer impact of every model we implement.

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.

Provectus, a Premier AWS partner, specializes in Artificial Intelligence solutions for organizations worldwide. The company operates across North America, LATAM, and EMEA, focusing on cloud technology, data, and AI to help clients transform how they work and compete. Role overview The Senior Solution Manager – AI & Data Solutions will shape and deliver product strategies at the intersection of AI technologies and enterprise data transformation. This position leads client initiatives involving AI, Generative AI, Agentic AI systems, and complex data migration, with a goal of driving measurable business results. What you will do Develop and execute product strategies for AI and data-driven projects. Guide clients through the adoption and integration of AI solutions, including Generative AI and Agentic AI systems. Oversee intricate data migration projects, ensuring alignment with business objectives. Present AI architecture options to executive stakeholders and collaborate with technical teams on implementation details. Work closely with machine learning engineers on prompt engineering and with data scientists on model integration. Requirements Proven experience bridging strategic vision and practical execution in AI and data transformation projects. Ability to translate complex business needs into actionable product roadmaps. Comfort presenting technical solutions to C-suite leaders and collaborating with technical experts across disciplines. This role is based in Germany and involves working with clients and teams across global regions.

At Akeno, we are pioneering the development of cutting-edge AI-native production planning and scheduling software tailored for process industries and pharmaceutical manufacturing. Our solution is deeply complex and serves large enterprise clients where effective planning is critical to success.We are seeking a highly skilled Senior Solutions Engineer specializing in AI and Operations Research for Planning and Scheduling. This role encompasses the entire post-sales lifecycle, which includes implementation handover, go-live support, steady-state operations, and ongoing value delivery. Unlike a consulting role, your primary focus will be ensuring customer success with our product while continuously integrating your insights back into our offerings to enhance each implementation.As the most senior technical representative on the customer-facing side, you will connect product, engineering, and the operational realities of our clients. You will significantly influence how we develop our support and enablement functions as we grow.

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.

Join praxipal, where we're revolutionizing healthcare administration with our AI-powered workforce, tackling the global shortage of medical staff.We believe that medical assistants should focus on patient care rather than mundane tasks like scheduling, messaging, or invoicing. Enter Luna, our AI receptionist, who automates communication and is already embraced by over 100 medical practices.As we expand Luna's capabilities to manage all aspects of patient communication, we're on a mission to streamline administrative processes directly within existing practice systems.Backed by one of Europe’s leading investors and recognized as one of Germany's fastest-growing healthtech startups, our team comprises talents from renowned organizations such as Palantir, Amazon, and SAP.We are currently seeking a Senior Software Engineer (Infra & Platform) to construct the reliable, secure, and scalable infrastructure that powers Luna.The RoleLuna operates in real-time, automating critical workflows involving sensitive patient data. Therefore, reliability, latency, and security are not just goals; they are essential features of our product.In this hands-on, technical role, you will establish and maintain the platform that ensures Luna's reliability in daily practice operations. This includes managing cloud infrastructure, CI/CD processes, identity and access management, observability, and Luna’s real-time voice stack. Your work will help minimize risks, streamline deployments, facilitate quick failure diagnostics, and embed security as a core principle.This position is on-site in Berlin and requires fluency in German.

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects experienced specialists with project-based AI work for technology companies. Assignments focus on testing, evaluating, and improving AI systems. This freelance, project-based position does not offer permanent employment. Role overview As a Freelance AI Evaluation Engineer, the primary focus is building a dataset to assess AI coding agents using real-world developer tasks. The work involves designing detailed tasks and evaluation methods in realistic simulated environments. Main responsibilities Create virtual companies from high-level plans, including codebases, infrastructure, and realistic context such as conversations, documentation, and tickets that reflect authentic development history. Develop and refine tasks for different stages of the virtual company. This includes writing prompts, setting evaluation criteria, and ensuring tasks are solvable and assessments are fair. Design assignments for isolated environments that mimic a developer's workstation, using a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation), and a real web application codebase. Build tests that accept all valid solutions and reject incorrect ones, aiming for balanced strictness. Work with an AI agent to confirm that tests detect real issues, do not overlook errors, and validate correct solutions. Review code generated by agents, analyze why solutions succeed or fail, and invent edge cases and adversarial scenarios. Incorporate feedback from expert QA reviewers to improve your work and meet quality standards. Scope clarifications This position does not include data labeling. This position does not cover prompt engineering. Writing code from scratch is not required. The AI agent handles most coding; your focus is on guidance and evaluation. Much of the work involves collaborating directly with AI systems, as designing challenges for advanced models requires hands-on interaction with those models.

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.

Join Databricks as a Senior Staff Software Engineer! At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to groundbreaking cancer drug development. Our mission is to build and operate the finest data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions. Our engineering teams develop sophisticated products that address significant needs globally. We are responsible for one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system issues, and our software is designed to shield our customers from these challenges seamlessly. The Delta DML team is responsible for the core write-path operations of Delta Lake, the open-source storage layer powering the Databricks Lakehouse. Our goal is to deliver top-tier performance and a smooth user experience at massive scales, with the majority of data processed in Databricks traversing our platform. We spearhead performance innovations such as Low Shuffle Merge and Deletion Vectors, and actively contribute to open-source initiatives to unify Delta and Iceberg formats. We are looking for a highly capable and experienced Senior Staff Software Engineer to join our backend team. In this pivotal role, you will be key in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will create the next-generation platform for serving workspace assets, ensuring high queries per second (QPS), low latency, reliability, and performance, while proactively addressing future growth challenges. Additionally, as a senior team member, you will provide technical leadership, mentorship, and guidance to junior engineers, enhancing overall team coding practices and system designs. Your Impact: Address real business needs at scale through your software engineering expertise. Conduct low-level systems debugging, performance measurement, and optimization on extensive production clusters. Architect design solutions, influence product roadmaps, and take ownership of new projects. Implement tools to enhance automation and operability of services. Utilize your extensive experience to help prevent and investigate production issues. Plan and lead complex technical projects that involve collaboration with multiple teams across the company. Act as a technical team lead by mentoring others, leading sprint planning, delegating tasks, and participating in project planning.

Join Trusted Shops, where we are dedicated to developing innovative SaaS solutions for over 40 million users and 30,000 businesses across Europe. Our product range includes the Trustbadge, buyer protection solutions, and the eTrusted Experience Feedback Platform. For 25 years, our mission has been to foster trust between individuals and businesses in the digital age.Our Product & Engineering Department comprises 15 cross-functional teams distributed across three product domains (Consumer, Business, and Platform), all working in an agile environment.We are looking for a skilled and inquisitive Senior Fullstack Software Engineer (f/m/d) to join our Platform Domain. If you thrive in dynamic settings, enjoy solving complex problems with code, and are driven to enhance the overall user experience, we want to hear from you.As part of our Trstd Login Team, you will help develop the next generation of secure and user-friendly authentication tools designed to build trust between users and companies.Your Responsibilities as a Senior Fullstack Software Engineer (f/m/d):Collaborate closely with an interdisciplinary product team of growth-oriented developers, product, and delivery experts to create reliable, scalable, and impactful solutions.Develop cross-platform web components, leveraging your deep expertise in leading eCommerce systems such as Shopware, PrestaShop, WooCommerce, Magento, and Shopify to ensure seamless integration and high performance across all environments.Implement secure system communication using OAuth2 and OIDC while embracing a technology-agnostic approach to tackle technical challenges. You will utilize stable, proven technologies under the principle of 'Choose Boring Technology'.Take ownership of your work from start to finish in a culture of 'You build it, you own it'—from developing new features to CI/CD deployments, monitoring, and infrastructure automation with Terraform and Infrastructure as Code (IaC).Why Join Trusted Shops?Personal Development: You will receive direct support for your professional growth...

P-1327 At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most complex challenges. From revolutionizing transportation methods to speeding up medical innovations, our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to leverage profound data insights to enhance their business. Established by engineers, Databricks is embarking on an ambitious journey to develop the most advanced Lakehouse Platform. While we have a solid foundation, we aim to elevate our offerings to create significantly improved products. Our goal is to reimagine every component to provide our customers with the fastest, most user-friendly, and secure data platform for all their data workloads. As a Senior Software Engineer, you will be a key member of our Berlin site and play a pivotal role in our multi-year mission to realize our Lakehouse vision. You will engage in the entire development lifecycle and embody the core values of Databricks. The impact you will have: Our backend teams operate across various domains within our essential service platforms. You may encounter challenges such as: Addressing issues that encompass product development and infrastructure, including distributed systems, scalable service architecture, monitoring, workflow orchestration, and enhancing developer experience. Creating reliable, secure, and high-performance services and client libraries for managing and accessing massive amounts of data on cloud storage solutions, such as AWS S3, GCS, and Azure Blob Store. Developing product features that empower our customers to efficiently store and access their data.

Are you a passionate and skilled software engineer ready to take on intricate challenges in the automotive sector? Do you have a knack for innovating solutions in Software Defined Vehicle (SDV) architectures, advanced driver assistance systems, and sophisticated in-vehicle communications? As the automotive landscape transitions towards centralized, software-driven frameworks, we seek a forward-thinking individual eager to support clients in separating hardware from software, thus influencing the future of mobility. If you thrive in collaborative engineering environments, enjoy direct customer engagement, and excel at troubleshooting real-world software issues while advancing pioneering automotive technologies, we want you to join our dynamic team!

At Enpal, we envision a future where every rooftop boasts a solar system, every home is equipped with a storage unit, and every garage houses an electric vehicle. We facilitate this vision through our comprehensive solution for decentralized energy, which encompasses solar systems, battery storage, wall boxes, smart meters, and heat pumps. Central to our operations is our cutting-edge AI-powered platform, Enpal.One+, which seamlessly integrates and optimizes thousands of systems to enhance electricity procurement and trading in the energy market.Are you prepared to contribute to tangible solutions that significantly enhance the quality of life for countless households each day? Your innovations at Enpal will not only provide clean energy for the future but will also drive a lasting transformation in our energy consumption practices.Your RoleAs a Senior Software Engineer (f/m/d), you will tackle complex challenges in delivering renewable energy solutions. This includes transforming the planning and installation processes of solar panels through engaging frontend applications, developing APIs that support real-time energy data, and scaling our cloud infrastructure on Azure.We pride ourselves on our agility and rapid career advancement opportunities. Our mission to democratize sustainable solar energy can only be realized through a customer-focused and product-oriented approach, coupled with collaboration between software development, product management, and our lean, experiment-driven business development strategy.Join us in honing your professional skills, participating in the energy revolution, and collectively owning the sustainable changes we aspire to bring to the world! We eagerly await your application.At Enpal, your responsibilities will include:Developing Software. We are committed to delivering incremental value with every iteration, celebrating improvements that enhance user experiences and contribute to our climate goals.Enhancing Developer Satisfaction. No one should have to stay up late deploying new solutions or manually run regression tests repeatedly. We focus on enhancing stability and automating processes such as load testing and vulnerability scans.Continuous Growth and Learning. Whether you're a Kafka expert or just getting started with Azure Bicep, we are eager to learn from your expertise and ensure you continue to develop through our knowledge-sharing initiatives.Architectural and Visionary Work. Contribute to the architecture and strategic vision of our software solutions.