Design and develop user-facing applications using TypeScript and React, integrate with backend services, and collaborate with product teams to create intuitive interfaces that enhance trading workflows and data interactions.

LanguageWire is a global leader in language and content services, dedicated to helping brands achieve their full global potential. Since 2000, we’ve evolved and built unique technology that enables seamless multilingual communication. Our worldwide network of language experts, together with our intuitive online platform, empowers brands to translate and manage multilingual content effortlessly. The role you’ll play As a Full Stack Engineer in the Core Platform Team, you’ll be at the forefront of how LanguageWire puts AI to work across the business. You won’t be training models or doing data science, you’ll be building the tools, services, and workflows that let AI agents actually do things: query internal systems, interact with third-party APIs, automate cross-department workflows, and solve real business problems end-to-end. You’ll own the design and delivery of backend-heavy services that expose well-defined, reliable tool interfaces consumed by AI agents. You’ll collaborate with product managers, domain experts from across the company, and fellow engineers to identify pain points and turn them into agentic solutions. The team you’ll be a part of You'll join the Core Platform Team, one of the foundational engineering teams at LanguageWire. The team owns and operates 12 microservices that underpin the entire organisation, covering file storage, authentication, notifications, email delivery, and integrations with our ERP and CRM systems, among others. These are the services every other team depends on. As LanguageWire invests in AI, the Core Platform Team is taking on a new function: building the tools and integrations that allow AI agents to interact with our services and automate workflows across departments. You'll be at the forefront of that expansion, turning the platform's capabilities into reliable, well-defined interfaces that AI agents can act on. We value outcomes over output, shared ownership over silos, and continuous delivery over long release cycles. Our stack is built on .NET microservices, Azure, and modern API patterns.  If you want to make a difference, make it with us by… - Design and build AI agent tools: Create backend services and APIs that AI agents can invoke to query data, trigger workflows, and interact with internal and external systems. - Integrate with existing services and APIs: Connect agent tooling to LanguageWire’s internal platform APIs, third-party services, and databases. - Define tool schemas and contracts: Design clear, well-documented tool interfaces (function schemas, OpenAPI specs, MCP server definitions) that LLMs and orchestration layers can reliably consume. - Build agentic features and workflows: Implement end-to-end automated workflows where AI agents solve specific business cases across departments,  from operations and finance to sales and project management. - Own your services end-to-end: From architecture and coding to deployment, monitoring, and maintenance (“You build it, you run it”). - Contribute to backend services and data layers: Extend existing .NET microservices and databases to expose the capabilities needed by AI tools. - Set up and improve CI/CD pipelines to ship reliably and frequently. - Apply DevOps and Operational Excellence best practices to ensure agent tools are observable, resilient, and secure. - Share knowledge with the team and help define how we build AI-powered products. In one year, you’ll know you were successful if… - AI agents are actively solving real problems across multiple departments using tools you built. - Internal teams are saving meaningful time through automated workflows you’ve designed and shipped. - Your tool APIs are robust, well-documented, and trusted by both engineers and the AI orchestration layer. - You’re recognized as a go-to person for backend architecture and AI tool integration within the team. Desired experience and competencies What does it take to work for LanguageWire? What you’ll need to bring Core engineering skills - Strong backend experience: C#, .NET Core / .NET 6+, ASP.NET Web API, microservices - Solid experience with relational databases (MSSQL and/or PostgreSQL),  query design, schema design, performance - Proven ability to design and build REST APIs and integrate with third-party services and webhooks - Familiarity with async programming, event-driven architecture, and message queues (e.g., Azure Service Bus, RabbitMQ) - Some frontend exposure (Vue.js and/or TypeScript),  enough to contribute when needed, but the focus here is backend  AI tool & integration skills - Practical understanding of LLM APIs (Anthropic, OpenAI, Azure OpenAI), calling them, managing context, handling responses - Familiarity with designing or consuming tool/function calling schemas, defining what an agent can invoke and how - Familiarity with MCP (Model Context Protocol) or similar agent-tool integration patterns (or eagerness to learn) - Understanding of security and authentication for exposed tool APIs (OAuth 2.0, API keys, rate limiting, input validation) - Observability mindset: logging, tracing, and monitoring tool invocations and agent interactions Mindset - A product mindset: you care about solving real business problems, not just completing tickets - Comfortable working with domain experts (non-technical stakeholders) to identify automation opportunities and translate them into technical solutions - Strong communication skills,  English fluency required - Agile, collaborative, and opinionated in a constructive way This will make you stand out - Hands-on DevOps experience: CI/CD pipelines, Docker, Kubernetes, cloud (Azure preferred) - Experience designing agentic workflows: chaining tool calls, handling state, and structuring multi-step automated processes - Familiarity with agent orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or similar) - Experience with event-driven or workflow automation platforms (e.g., Azure Logic Apps, n8n, Temporal) - Knowledge of prompt chaining patterns and how to structure reliable, deterministic tool-calling behaviour in LLM pipelines Our perks - Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas - Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture - International company with over 300 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg,, Sophia Antipolis, Atlanta, Finland and Valencia - For this role, we have a full-time FlexiWire@home option for remote work. - Working in an international environment—more than 20 different nationalities About LanguageWire At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe. Our values drive our behavior We are curious. We are trustworthy. We are caring. We are ambitious. At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.   Working at LanguageWire — why we like it:  “As a Senior Full Stack Engineer at LanguageWire, my day is dynamic and collaborative, particularly within the Machine Learning team. I work closely with Machine Learning Engineers to integrate advanced AI capabilities into our web applications and APIs, aiming to enhance customer experiences through innovative features. I also collaborate with other development teams to ensure seamless integration and alignment of our technology solutions, fostering continuous learning and driving the evolution of LanguageWire's technology.” (Cristian, Senior Full-Stack Engineer, Poland) “What I enjoy the most about being a QA Engineer at LanguageWire is testing the products we provide to our customers. It feels rewarding to assure the quality and reliability of our designs. I also enjoy the teamwork involved in my job since I collaborate with many people, ranging from developers to product managers and linguists. In this way, I play a role in ensuring our projects' success, which is incredibly gratifying. I love knowing my work influences the outcome of our production of high-quality products for our customers. I also have the opportunity to work with the latest technologies adds an exciting challenge to my role.” (Ricardo, QA Engineer, Portugal) Yes, to diversity, equity & inclusion In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work. LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills. Want to know more? We can’t wait to meet you! So, why wait 'til tomorrow? Apply today! If you want to know more about LanguageWire, we encourage you to visit our website!

• Design and build AI agent tools: Create backend services and APIs that AI agents can invoke to query data, trigger workflows, and interact with internal and external systems. • Integrate with existing services and APIs: Connect agent tooling to LanguageWire’s internal platform APIs, third-party services, and databases. • Define tool schemas and contracts: Design clear, well-documented tool interfaces (function schemas, OpenAPI specs, MCP server definitions) that LLMs and orchestration layers can reliably consume. • Build agentic features and workflows: Implement end-to-end automated workflows where AI agents solve specific business cases across departments, from operations and finance to sales and project management. • Own your services end-to-end: From architecture and coding to deployment, monitoring, and maintenance (“You build it, you run it”). • Contribute to backend services and data layers: Extend existing .NET microservices and databases to expose the capabilities needed by AI tools. • Set up and improve CI/CD pipelines to ship reliably and frequently. • Apply DevOps and Operational Excellence best practices to ensure agent tools are observable, resilient, and secure. • Share knowledge with the team and help define how we build AI-powered products.

• Work in an agile development team, contributing to planning, development, and continuous improvement • Support all stages of the software development lifecycle, including design, development, testing, deployment, and maintenance • Partner with product managers and teammates to design and build new features that meet customer needs • Troubleshoot application and client issues, helping support implementations and improve system stability • Monitor and improve the performance and reliability of applications and databases • Write tests, participate in code reviews and share knowledge with teammates.