• Kalepa is looking for an exceptional Director of Engineering to lead and grow Kalepa’s Core Product team. • You will be responsible for defining the architectural roadmap, setting strategy, driving engineering operational excellence, and cultivating a high-performance, results-driven culture that consistently delivers exceptional value to Kalepa’s clients. • As part of the Core Product team, you will establish the frameworks, engineering standards, and cross-functional cadences to power Kalepa’s cutting-edge platform which augments human underwriters and orchestrates AI underwriters to deliver rapid and profitable growth to the world’s largest insurers.

Background The GEO Knowledge Hub (GKH) is a cloud-based, open-source digital library developed by the Group on Earth Observations (GEO) Community. It serves as a global platform to preserve, share, and curate Earth Observation (EO) Applications. Built on top of the InvenioRDM, the GKH provides a robust infrastructure for digital object management, persistent identifiers (e.g., DOIs), curation workflows, a marketplace for commercial applications, and advanced search capabilities. To support the continued development and operation of the GKH, the evolution of the tool, as well as to contribute to the broader GEO Community and GEO Infrastructure, the GEO Secretariat seeks a full-stack web developer. Duties and Responsibilities The Software Developer is expected to contribute across the full product lifecycle, from feature conceptualization and system design to implementation, testing, and production deployment, across all components of the GKH ecosystem. The sections below present the accountabilities / responsibilities of the software developer of the GKH GEO Knowledge Hub - Core platform development - The GEO Knowledge Hub is developed on top of InvenioRDM. The software developer will be responsible for managing the system and extending it with the required features, as described in the items below - Design, develop, and maintain extensions to the InvenioRDM-based code base, including custom data models, metadata schemas, and REST API endpoints using Flask and Marshmallow - Build and evolve React-based front-end components that extend InvenioRDM’s user interface, ensuring consistency with the platform’s design system - Keep the GKH versions updated with the latest versions of the InvenioRDM National GKH - Country-level Knowledge Hubs - Maintain and evolve the National GKH component using TypeScript, Tailwind CSS, and Shadcn UI - Maintain and evolve the existing Typesense-powered search capabilities for fast, typo-tolerant, semantic search querying of national knowledge content - Maintain and evolve the theming and customization framework that allows countries to adapt branding (colors, imagery, section layouts) to their own identity - Maintain and evolve the synchronization system available in the National GKH, which keeps the National GKH content always updated with existing content in the Global GKH AI-Powered services - Design, development and integration - Architect and implement AI-driven features on top of the GKH and National GKH services, using LangChain, LangGraph, and LlamaIndex as orchestration frameworks - Integrate multiple LLM providers through LiteLLM, managing model routing, fallback strategies, and cost optimization - Maintain and evolve the existing Retrieval-Augmented Generation (RAG) pipelines, including document ingestion (e.g., Docling, LlamaIndex), semantic search (eg,pgVector, Typesense), LLM Models (e.g., OpenAI APIs, Anthropic API, and others), Rerank models (e.g., Cohere, FlashRank), and more - To evolve the existing RAG system, it would be required to enhance knowledge graph capabilities using Neo4j to enrich AI responses with structured, relational context Infrastructure, deployment and operations - Manage cloud infrastructure on AWS, including provisioning, scaling, monitoring, and cost management of services supporting the full GKH ecosystem - Deploy and operate LLM inference infrastructure, including self-hosted models via Llama.cpp and vLLM, ensuring performance and availability Cross-Cutting responsibilities - Participate in feature conceptualization, technical design discussions, and architectural decision-making across all product lines - Write and maintain technical documentation, architecture decision records, and developer guides - Collaborate with stakeholders and partner organizations to translate requirements into technical solutions Deliverables - New AI capabilities in the GEO Infrastructure (e.g., document summarization, metadata extraction) - Advancements in the GEO Knowledge Hub Marketplace, the corner of the GEO Community, to store commercial applications - Advancements in the integration of the National GKH with the existing marketplace available in the Global GKH - GEO Knowledge Hub updates to keep the platform versions aligned with the new releases of the InvenioRDM - Review deployment solutions applied in the GKH to enhance its automation and make it more fault-tolerant Required Skills and Experience Education: Bachelor’s, master’s degree, or PhD in Computer Science, Software Engineering, Information Systems, or a closely related field. Experience – Core software development The candidate must demonstrate strong proficiency in the following technologies: - Python back-end development with Flask, Marshmallow, and RESTful API design. - Front-end development with React (JavaScript) and modern TypeScript, including component libraries such as Shadcn UI and utility-first CSS frameworks (Tailwind CSS). - Search engine technologies: OpenSearch and Typesense, including index design, query optimization, and relevance tuning. - Relational and non-relational databases, with practical experience in PostgreSQL and Neo4J. Experience - AI / ML engineering and integration The candidate must demonstrate knowledge in the following technologies: - LLM orchestration frameworks: LangChain, LangGraph, and LlamaIndex for building agentic and retrieval-augmented workflows - RAG system design: document ingestion pipelines (Docling), vector databases (pgVector), and semantic search integration - Multi-provider LLM management via LiteLLM or equivalent abstraction layers, including prompt engineering, model evaluation, and cost-aware routing - Knowledge graph technologies (Neo4j) for structuring and querying domain-specific relationships - API development for AI services using FastAPI. Experience – GEO infrastructure and DevOps Proven ability to manage production deployments and cloud-native infrastructure, specifically: - AWS services for compute, storage, networking, and managed databases; - LLM inference deployment: self-hosted model serving via Llama.cpp, vLLM, or similar runtimes, including GPU resource management. - CI/CD pipeline design and maintenance, infrastructure-as-code (Terraform, CloudFormation, or equivalent), and observability tooling. Profile - Working approach & soft skills - Ability to work autonomously across the full software lifecycle, from concept and design through development, testing, and production deployment. - Strong problem-solving skills with the capacity to navigate ambiguity and make sound technical decisions across diverse technology domains. - Effective communication skills for collaborating with distributed, multidisciplinary teams and for producing clear technical documentation. - Adaptability and willingness to learn rapidly, given the evolving nature of the GEO Knowledge Hub ecosystem and the fast-moving AI landscape. Other Requirements Languages: Excellent knowledge of English (both oral and written). Knowledge of other official languages of WMO would be an advantage. (Note: The official languages of WMO are Arabic, Chinese, English, French, Russian and Spanish.) Duration: 11 months Salary and allowances: Pay band A Planned travels: The Software Developer may be required to travel internationally to represent the GEO Knowledge Hub at events organized by the GEO Community or the GEO Secretariat. Travel assignments will be determined based on specific requests from member countries or the Secretariat. Contact: jobs@geosec.org Applications: Applications should be made online through the WMO e-recruitment system. Do not send your application via multiple routes. WMO no longer accepts applications via post or email. Only applicants for whom WMO has a further interest will be contacted. Shortlisted candidates may be required to sit a written test and/or an interview. Statements: WMO is committed to achieving diversity and a balanced workforce. Applications are welcome from qualified women and men, including those with disabilities. The statutory retirement age is 65. Pursuant to WMO Standing Instructions, the minimum age to be eligible for consideration for vacant positions is 18, and the maximum age must enable the candidate to serve for at least the term of the contract before reaching mandatory age of separation. Sexual harassment, exploitation, and abuse of authority WMO does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles. Scam alert WMO does not charge a processing fee at any stage of its recruitment, selection, and hiring processes (i.e., application stage, interview stage, validation stage, or appointment and training). WMO will not ask for applicants’ bank account information.

Role Description Für ein spannendes KI-Projekt bei unseren Kunden in Zürich, suchen wir eine:n erfahrene:n, motivierte:n und aufgeschlossene:n Python Entwickler:in. - Mitarbeit in einem spannenden KI-Projekt - Entwicklung und Analyse von Datenlösungen mit Python - Arbeiten mit Jupyter Notebooks zur Datenaufbereitung und -visualisierung - Nutzung von Pandas für Datenmanipulation und -analyse - Unterstützung bei der Umsetzung von KI-/GenAI-Anwendungen (je nach Erfahrung) Qualifications - Erste Berufserfahrung nach der Ausbildung in der Softwareentwicklung - Gute Kenntnisse in Python - Erfahrung mit Jupyter Notebooks, Pandas - Erfahrung im Bereich Generative AI - Kenntnisse in LangChain sind von Vorteil - Fliessende Deutschkenntnisse Company Description Die Coopers Group AG ist eine agile Schweizer Recruiting Agentur, die Spezialisten und Führungskräfte in den Bereichen IT, Life Sciences, Engineering und Finance vermittelt. Mit flexiblen Ansätzen bringen wir Kandidat:innen und Unternehmen zusammen, die nicht nur fachlich, sondern auch menschlich zusammenpassen.

Role Description As a rapidly growing global company, we are looking for a talented and motivated Senior C++ Developer to join our team. This role is ideal for an experienced engineer with a strong background in modern C++ and a passion for building efficient, reliable, and high-performance backend systems. The Senior C++ Developer will report directly to the Head of R&D and work closely with the engineering team to improve the performance, stability, and maintainability of our platform. This position requires strong technical ownership, attention to detail, and the ability to solve complex engineering challenges in production environments. - Design and develop backend components using modern C++ - Improve system performance, stability, and maintainability - Investigate production issues and optimize critical execution paths - Write clean, efficient, maintainable, and testable code - Participate in design reviews and code reviews - Contribute to engineering standards, best practices, and development processes - Collaborate with teammates on architecture, technical design, and delivery - Integrate external libraries, protocols, and system components where needed - Assist in debugging, testing, and validating software to ensure reliability and performance - Contribute to documentation of software design and implementation details - Any other duties and responsibilities relevant to the role Qualifications - Five years of proven experience as a Senior C++ Developer or in a similar backend/software engineering role - Strong knowledge of modern C++, preferably C++23 - Solid experience with multithreading and concurrency - Strong understanding of memory management and performance optimization - Experience debugging complex issues in production systems - Ability to write clean, maintainable, and testable code - Experience working with low-latency systems - Experience with lock-free structures - Experience with financial/trading systems or real-time data processing - Familiarity with Windows and/or Linux development environments - Familiarity with build tooling and package management - Experience integrating external libraries and communication protocols - Strong problem-solving and analytical skills - Ability to work effectively both independently and as part of a team - Fluent in English, both written and spoken Requirements - Strong sense of ownership and reliability - High attention to detail - Ability to work independently in a fast-paced environment - Willingness to challenge weak designs in a constructive and professional way - Practical engineering mindset with a focus on real outcomes rather than theoretical perfection Benefits - Competitive compensation package - Fully remote role - Paid annual leave and sick leave - Company events and celebrations online/offline - Anniversary and birthday gifts for employees - Learning & Development support for your growth - Career growth opportunities - Work in a supportive and inclusive environment that values teamwork and open communication