Jobs at Twoday

Develop and productionize predictive and generative AI models for customer business problems. Responsibilities include problem framing, feature engineering, algorithm selection, statistical validation, model documentation, evaluation metrics, production collaboration, governance, stakeholder presentations, code reviews, and mentoring. The role works closely with data engineers, AI/ML engineers, cloud architects, software developers, analysts, and domain experts across customer projects.

Lead analytical design and delivery of production AI and machine learning solutions for customers. Responsibilities include framing business problems, selecting algorithms, validating and documenting models, establishing analytical standards, mentoring data scientists, supporting presales, and advising stakeholders on feasibility, governance, fairness, and business value. The role also evaluates generative AI, RAG architectures, and emerging tools while serving as a local and global AI/ML expert.

Build, deploy, and operate production machine learning and generative AI systems for customers. Responsibilities include developing training and inference pipelines, model serving, monitoring, alerting, retraining, MLOps automation, RAG solutions, governance, and AI evaluation. The role involves close collaboration with customer technical teams, code reviews, knowledge sharing, and mentoring, with opportunities to progress toward technical leadership.

Leads the architecture, engineering, deployment, and operation of production ML and generative AI systems. Owns MLOps platforms, training and inference pipelines, model and prompt lifecycles, monitoring, governance, and automated retraining. Establishes engineering standards, advises customers, mentors engineers and data scientists, supports AI presales, evaluates emerging tools, and represents the company’s AI/ML capabilities. Strong software engineering, Azure, infrastructure-as-code, containers, Kubernetes, RAG, and Danish communication skills are required.

Develop and modernize business-critical Java applications for public-sector solutions. Design services, integrations, and REST APIs; write automated tests; contribute to CI/CD; troubleshoot complex technical issues; participate in solution design; review code; and collaborate with stakeholders throughout the development lifecycle. The role is full-time onsite in Copenhagen and requires professional fluency in Danish and English.

Develop and operate secure, production-ready LLM applications and agents, including on-premise model deployments, RAG solutions, structured workflows, validation layers, guardrails, testing, monitoring, and integrations with existing applications and APIs. The role works with sensitive data and requires fluent Danish and English, plus full-time onsite work in Aarhus.

Develop and maintain business-critical C# and .NET solutions for a public-sector customer. Take technical ownership of features, contribute to architecture and design decisions, ensure code quality through reviews and testing, support fellow developers, and work with APIs, integrations, databases, CI/CD, and cloud platforms. The role combines hands-on software development with technical coordination, stakeholder collaboration, and guidance on reliable, secure, and maintainable solutions.

Develop and maintain C# and .NET applications across frontend and backend systems. Build REST APIs, write automated tests, participate in code reviews, troubleshoot applications, and contribute to CI/CD and continuous improvement. Collaborate with developers, testers, and business stakeholders while using AI-assisted development tools responsibly. The role requires Danish fluency and full-time onsite work in Copenhagen.

Develop and maintain Sitecore solutions and broader C#/.NET applications for a business-critical public-sector portfolio. Build integrations and REST APIs, troubleshoot and modernize existing systems, write automated tests, participate in code reviews, and support CI/CD and deployment processes. Collaborate with developers, testers, and stakeholders on technical design and solution delivery. The role is full-time onsite in Copenhagen and requires fluent Danish.

Design cloud-native Azure solutions, APIs, integrations, event-driven systems, and shared platforms. Develop prototypes and reusable components in C# and .NET, implement Infrastructure as Code with Bicep or Terraform, and contribute to CI/CD and Azure DevOps practices. Define architecture standards, review code, modernize legacy applications, and incorporate security, governance, and compliance. The role requires close collaboration with architects, developers, product owners, and project managers in a full-time on-site Copenhagen public-sector environment.

Develop and maintain Angular and TypeScript web applications, translating complex requirements into accessible user experiences. Contribute to C# and .NET backend development, REST API integration, automated testing, code reviews, solution design, and CI/CD improvements. Collaborate with developers, testers, business stakeholders, and public-sector customers on business-critical enterprise solutions. The role is full-time and onsite in Copenhagen and requires fluent Danish.

Lead UX design processes for complex digital transformation projects. Gather and analyze user and business insights, map customer journeys, facilitate workshops, define strategic direction, and create user flows, prototypes, and design deliverables. Collaborate with customers, designers, developers, and specialists to validate and deliver high-quality digital experiences. Use Figma, design systems, rapid prototyping tools, and AI throughout the design process.

Lead quality strategy and test architecture for an AI-heavy public sector modernisation programme. Orchestrate AI-driven test agents and automation, validate UI/API/end-to-end behaviour, detect AI bias/hallucinations, ensure regulatory and non-functional compliance, monitor production, and enable release readiness while balancing speed, risk, and business value.

Design, build, and operate production-grade ML platforms and end-to-end MLOps pipelines. Implement cloud and hybrid ML infrastructure, IaC, CI/CD for model lifecycle, containerisation, monitoring, and governance. Collaborate with data scientists and stakeholders to deploy, monitor, and maintain scalable, secure ML solutions in production.

Lead development and maintenance of automated regression tests, improve test coverage and test architecture (POM), support CI/CD pipelines, collaborate with developers and stakeholders, contribute to planning, agile processes, Jira setup, and continuous improvement including AI-assisted testing.

Design, build and maintain observability platforms for cloud-native and AI workloads. Implement logging, metrics and distributed tracing pipelines, monitor Kubernetes and containerized services, support production stability and incident response, and collaborate with development and platform teams to optimise performance and reliability.

Build, maintain and operate Kubernetes-based AI platforms and cloud-native infrastructure. Develop IaC, CI/CD and GitOps pipelines, support deployment of AI workloads, and ensure scalable, secure production environments while collaborating with development and platform teams.

Design, build and maintain Kubernetes-based development and deployment platforms, CI/CD and GitOps pipelines, infrastructure-as-code, observability and governance. Establish guardrails for AI-assisted and agentic workflows, support AI workload deployment, and collaborate with developers and architects to operationalise secure, scalable platform engineering.

Lead design and delivery of Microsoft Modern Work and Security solutions. Advise on strategy, governance, and Zero Trust architectures; implement and optimize Microsoft 365, Entra ID, Intune, Defender, and Purview; run migrations, workshops, assessments, and pre-sales; mentor teammates and drive adoption.

Secure cloud-native and AI-assisted platforms by hardening Kubernetes workloads, CI/CD pipelines, and runtime environments. Implement policy-as-code, manage secrets and IAM, enforce container/runtime security, and support secure AI deployment and governance while collaborating with development, platform, and security teams.