Unser Kunde ist eine der obersten Finanzbehörden in Deutschland. Für den Kunden suchen wir einen erfahrenen Anforderungsingenieur (m/w/d) Definition und Strukturierung von Schnittstellen und APIs Aufgaben - Anforderungen erheben, analysieren und spezifizieren: Du erhebst, analysierst und bewertest Anforderungen sowie fachliche Spezifikationen im Rahmen unterschiedlicher Entwicklungsprojekte. - Konzepte erstellen: Du erarbeitest Fachkonzepte, Anforderungsspezifikationen und User Stories zur Unterstützung der Weiterentwicklung von Anwendungen und Systemen.Schnittstellen gestalten: - Du wirkst aktiv an der Definition und Strukturierung von Schnittstellen und APIs mit (z. B. auf Basis von JSON-Schemata).Dokumentation: - Du erstellst und pflegst strukturierte und verständliche Schnittstellen- und Technologiedokumentationen (z. B. OpenAPI/AsyncAPI).Qualität sichern: - Du unterstützt bei der Umsetzung und Überprüfung funktionaler sowie nicht-funktionaler Anforderungen.Zusammenarbeit: - Du arbeitest eng mit verschiedenen Stakeholdern sowie Entwicklungsteams zusammen, insbesondere in agilen Projektumfeldern. Qualifikation Bitte schätze Dich ein 1=das Schwächste und 10=das Stärkste - JSON-Schemata= - JSON-Schemata und Anwendung in der API-Definition= - Deutschkenntnisse= - Jira= - Confluence= - Git= - nice2have: modellbasierter Anforderungserhebung (welche?)= - nice2have: OpenAPI= - nice2have: AsyncAPI= - nice2have: Projekterfahrung in der öff. Verwaltung= Benefits - Freie Einteilung der Arbeitsstunden - Home Office - Autonomes Arbeiten - Weiterentwicklung - Familienfreundliche Umgebung - Leasing-Bike - Parkplatz - Mitnahme von Haustieren Hast Du Fragen? Ansprechpartner: Alexander Wuthenow, Tel: 030 2065 84-59 * Gleichberechtigung ist uns wichtig. Diese Stellenanzeige richtet sich an alle Menschen. Bei der Stellenvergabe spielt die ethnische Herkunft, das Geschlecht, das Alter, die sexuelle Identität oder Behinderungen weder mittelbar noch unmittelbar eine Rolle.

Company Description DNAnexus is the leading cloud-based SaaS company serving the global life science community. DNAnexus’ health informatics platform serves customers across a spectrum of industries — government, biopharmaceutical, clinical diagnostics, healthcare, and academic research in 33 countries with compliant protection of data, privacy, and intellectual property. The platform provides a secure and collaborative environment where genomics, multi-omics, and real world data can be combined with clinical data at scale, providing new insights that can lead to improved diagnostics, new targeted therapies and better patient care. Job Description Team Summary Our platform manages over 125 petabytes of data, processes 50 billion records, and handles 3 billion API calls monthly. With thousands of users depending on us, there is a clear imperative to leverage powerful frontier LLM models and execute on DNAnexus’ Agentic Platform. The platform enables agent-based systems to provide clinical and molecular data workflows in a highly scalable and regulated (PHI) environment. The goal is to enable more intelligent, automated, and reliable execution of complex scientific data processes in the cloud. Who We’re Looking For We are seeking a highly autonomous and product-minded Senior Software Engineer. This critical role requires robust technical skills in software development and data management and a willingness to learn about molecular data and bioinformatician workflows. - Product minded/agile mindset is required for the position - knowing that the optimal solution may evolve within six months due to the rapidly changing AI ecosystem. - Strong understanding of modern LLM techniques and AI harness principles combined with experience in deploying them within production environments - Backend generalist navigating technical ambiguity with a flexible, learning-oriented approach. Responsibilities - Design, build, and maintain scalable clinical and molecular data systems - Develop cloud-native infrastructure for large-scale biomedical workloads - Contribute to AI/agent-based systems for scientific and clinical workflows - Apply LLMs and AI primitives in production within regulated environments (PHI) - Ensure high reliability, performance, and quality of delivered systems - Collaborate with global engineering teams (including US-based counterparts) - Drive engineering best practices (testing, CI/CD, observability, delivery discipline) - Evaluate and select technologies in a rapidly evolving AI ecosystem Qualifications - 5+ years of software development experience. - Proficiency in core development tools: Python (occasionally TypeScript), Linux Shell, Bash, Git, Docker, and SQL. - Ability to assess and select the right technology for the Agentic platform, keeping pace with an ecosystem that changes every six months. - Nice to Have: Proven experience designing and/or implementing Agentic systems. - Proficiency in computing fundamentals, including cloud computing (e.g., AWS). - Experience in data modeling, with an understanding of database management systems. - Experience in executing the end-to-end software development lifecycle, including agile delivery, automated testing, CI/CD, and continuous process improvement. Additional Information Based in Mountain View, California, DNAnexus is experiencing rapid growth and is searching for the best talent to join our team. We recently completed a $200 million financing round to advance our growth globally to further serve leading healthcare and life science organizations. Key investors include Google Ventures, Perceptive Advisors, Northpond Ventures, TPG Biotech, and Foresite Capital. DNAnexus will provide the necessary support to enable the ideal candidate to work remotely within the Czech Republic. - Department: Engineering

• Gain exposure to the full stack of the Unibuddy platform across web, native, and backend to deliver engaging solutions to users and customers • Work directly with products that provide experiences and tools to prospective students to engage with universities • Enable university staff and ambassadors to have positive conversations and valuable data, ultimately increasing yield • Work with a modern tech stack and AI systems to bring powerful features to customers and users

We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities - Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). - Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. - End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. - LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. - AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. - Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. - Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements - BSc in Computer Science, Mathematics, or related field. - 5+ years of professional experience working on AI/ML projects. - Good command of English and Arabic (written and spoken). - Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). - Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. - Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. - Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. - Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications - Knowledge of C++ or C# for performance-critical modules. - Experience deploying models via Docker, Kubernetes, or cloud AI services. - Exposure to vector databases and RAG workflows. - Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). - Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). - Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) - Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. - Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. - Familiarity with modern data lake architectures and scalable data storage concepts.