11 senior software engineer jobs found

Become part of neosfer. We are   neosfer   –   the innovation unit   and   early-stage investor   of   Commerzbank   . We firmly believe that the   digital   and   sustainable   transformation   of   financial services   contributes   to a   future worth living in   . With our   three   teams – invest, build   , and   connect   – we   actively shape this transformation. To this end, we   identify   exciting   innovations   in the market and   support   them with   venture capital   and   experience   (   invest   team   ),   develop   know-how   and   business models   for   new technologies   (   build team   ), and   build   an   ecosystem   around   innovation   ,   technology   ,   and   sustainability   (   connect team   ).   We are shaping the future – join us on the build team! Your tasks As   part   of our   dynamic innovation unit,   you'll have the opportunity to be at...

Your mission Role Summary We are looking for a Senior Backend Engineer /   Tech Lead   who can operate as a senior individual contributor while also setting technical direction, establishing engineering standards, and mentoring the team as we grow. This role is ideal for someone who has already worked as a senior/staff-level engineer or informal tech lead, and wants to take on more architectural ownership and long-term influence in a fast-moving AI-centric environment. You will partner closely with the CPTO and collaborate with backend, AI, and product teams to deliver high-impact systems. Architecture & System Ownership Design and own core backend architecture across multiple services Build and scale distributed, event-driven systems Establish patterns for reliability, performance, and observability Own major technical decisions and ensure long-term maintainability AI-Enabled Systems Architect...

Personality – Commitment – ​​Innovation! At GRAYOAK, you'll work in the Data & AI field, designing and implementing modern AI workflows and automation solutions based on Microsoft Azure. You'll translate business requirements into viable AI and workflow concepts and integrate them productively into existing data and process landscapes. In addition to hands-on implementation, you'll provide business leadership and technical responsibility for project teams, manage AI-related projects through all phases, and collaborate closely with data, cloud, and DevOps teams. GRAYOAK offers you the opportunity to actively drive AI topics forward, take on responsibility, and continuously develop your professional and methodological expertise. The focus is on the conception and hands-on implementation of scalable AI workflows and automation solutions on Microsoft Azure – combined with professional leadership and technical project responsibility. From theory to practice – put your...

Set the technical direction for ML, LLMs, and agents at Boam AI Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. As a Staff Machine Learning Engineer, you will set the technical direction for how ML, LLMs, and agents power our platform. You will architect advanced ML systems, define standards for training and deployment, and own the reliability and quality of ML across the company. This is a role for someone who has led ML and LLM systems at scale, mentors senior engineers, and wants to shape both the architecture and roadmap of a small, senior team. What You'll Do Set ML technical direction and roadmap: architecture, standards, and the next platform bets...

Your mission We are looking for a driven and experienced   (Senior) AI Engineer (f/m/d)   to join our team in Munich. In this role, you will design and build production-grade AI systems that power deeploi's intelligent IT workflows. You will take ownership of developing and deploying LLM-based automation solutions that reduce manual work, accelerate support processes, and enhance the experience of both our customers and internal teams. Here are the detailed tasks: Design and implement   LLM-based ticket classification and intent extraction pipelines for Zendesk and Intercom contexts. Build and maintain   real-time recommendation and routing pipelines for supporting workflows. Lead   prompt engineering and model fine-tuning to ensure production-quality performance. Develop MLOps infrastructure   , including model serving, CI/CD, and monitoring for deployed systems. Validate impact   through clear KPIs such as reduced resolution times, improved...

Senior Machine Learning Infrastructure Engineer (m/f/d) Location:   Frankfurt am Main, Germany (On-site)   Type:   Full-time (Initially 3 years)   Openings:   2 Positions HORN Developmentgesellschaft mbH   (soon to be   Natural Intelligence GmbH   ), a newly founded deep-tech startup at the intersection of neuroscience and machine learning, invites applications for two   Senior Machine Learning Infrastructure Engineers   for our   core   infrastructure team. Join an ambitious team dedicated to translating cutting-edge neuroscientific insights into robust, efficient AI systems. Founded by   Dr. Felix Effenberger   and   Prof. Wolf Singer   , we are a research-driven company on a mission to leverage the principles of brain dynamics, self-organization, and oscillatory computation to create a new generation of intelligent systems. Based in Frankfurt am Main, Germany, we collaborate closely with local and global academic institutions to push the boundaries of...

Fast like a startup. Experienced like a corporation. WE BUILD AI is the partner for productive AI in medium-sized businesses. We see ourselves less as a traditional (management) consultancy and more as a partner with an agency mentality. Our approach is pragmatic, hands-on, and with a clear focus on impact. What sets us apart? We combine technological excellence with genuine enthusiasm and openness. In doing so, we create an environment where responsibility, team spirit, and new ideas are a given. Our values ​​of enthusiasm, authenticity, trust, and excellence shape not only our projects but also the way we collaborate. Are you eager to not just discuss AI but actually implement it? Then you've come to the right place! Y our responsibilities: With us, you'll work on real client projects from day one, developing production-ready AI applications – from automation solutions and the use of generative AI models to the implementation of robust software solutions. You'll...

...you're right in the middle of it We are seeking a Team Lead and Coordinator for the Machine Learning research group at the University Hospital Frankfurt am Main. Shape the future of medical AI research within the RACOON network – Germany's largest multicenter radiology research initiative with 38 university hospitals (https://racoon.network). You will coordinate strategic projects and lay the foundation for prototype medical AI solutions with real commercialization potential. The position is initially limited to 12 months. Your tasks: Strategic coordination & interface management Orchestration of the collaboration between ML engineers, clinical researchers, IT infrastructure and RACOON consortium partners of over 38 institutions Translating clinical requirements into technical specifications as a central interface between radiology and AI development Navigating academic and medical hierarchies while maintaining operational efficiency Coordination of...

About Userlane Userlane is a market-leading Digital Adoption Platform that empowers organizations to understand and improve the value of their technology investments. Working with some of the world's most recognizable enterprises, we identify and eliminate adoption barriers and produce a more engaging and productive software experience for employees. Your mission Own Application Intelligence at Userlane. You'll shape what we build across App Discovery, HEART Analytics and Portfolio Overview to help enterprise CIOs and IT leaders see where software spending delivers value and where it creates waste. You'll work on opportunities such as: Delivering outcome-linked metrics   : Evolve our HEART Analytics to connect usage data to business outcomes like cost savings, efficiency and compliance risk that enterprise executives can take action on Building for time-poor executives   : Design analytics that bring insights to leaders and answers "what should I do?"...

Do you have a passion for leading teams and delivering outstanding technology solutions? You’re a natural leader with strong communication skills and a vision for building high-performing teams. As an AI-first company, we harness the power of artificial intelligence to deliver smarter, more efficient solutions for our clients. Join XALT as our Head of Delivery for the Atlassian & DevOps business in EMEA and shape the future of our AI-driven delivery organisation. In this role, you’ll oversee the delivery of complex projects, ensuring high quality and customer satisfaction. We don’t just want to deliver anything – we want to deliver the optimal solutions we’d use ourselves. Tasks Lead and manage our delivery teams for Atlassian and DevOps projects, ensuring on-time, high-quality delivery and delighted customers. Define and implement delivery processes and best practices across multiple teams and locations, embedding our AI-first approach. Collaborate with...

Your mission Design and maintain scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, acoustic, depth, IMU, and other modalities). Own and improve datasets for object detection and classification tasks, ensuring statistical robustness, diversity, and representativeness. Build and operate active learning loops to select high-value samples, reduce annotation cost, and continuously improve model performance. Write robust preprocessing pipelines using Python, NumPy, Pandas, and augmentation libraries like Albumentations. Manage labeling workflows, including QA rules, label consistency checks, vendor coordination, and dataset versioning. Collaborate with ML Engineers to fine-tune, train, and evaluate object detection models and feed insights back into the data pipeline. Analyze model weaknesses, uncover blind spots, and drive dataset improvements through statistical diagnostics and drift/bias detection. Create...