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. Of course, you are always welcome at the office to collaborate and connect with your colleagues. - We take care of our people and initiate many social get-togethers from Friday Bars a to Summer or Christmas parties. We have fun! - Excellent location in cool and modern offices in the city center, with a great rooftop terrace and a view over the Town Hall Square - Private health insurance - Working in an international environment—more than 20 different nationalities - A dog friendly atmosphere - Big kitchen with access to organic fruits, nuts and biscuits and coffee. - Social area and game room (foosball table, darts, and board games) - Bike and car parking   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!

Role Description We are looking for an Associate Director to join Vista's Value Creation Team (VCT) in the Product and Technology (P&T) Practice. This role sits at the strategic intersection of architecture, investment diligence, and value creation requiring the rare combination of deep technical credibility, business acumen, and the ability to influence C-level technology leaders across a portfolio. - Evaluate software architectures through an investment lens, helping identify technical risks that could derail our thesis and building pragmatic roadmaps that unlock value. - Partner with Vista's investment teams, portfolio company executives, and VCT colleagues across practices to evaluate software architectures, design scalable solutions, and build actionable roadmaps that improve reliability, scalability, cost efficiency, and drive cloud architecture transformation. - Contribute to various value creation initiatives such as: - Cloud FinOps by helping engineering leaders implement cloud cost governance frameworks and optimize architecture for performance and spend efficiency. - Organizational transformation by helping product and engineering leaders implement AI-first organization for fast, efficient, and high-quality product delivery. - Engineering Ops and AI impact assessment by partnering with third-party vendors and engaging with architecture and engineering leaders to implement balanced metrics scorecard that drives transparency with executives and board alike. - This is a hands-on, high-impact, cross-functional role that requires the credibility to engage with CPOs, CTOs, architects, and product engineering leaders. - Lead portfolio companies through technology and cloud architecture assessment and create roadmaps for technical debt remediation, resiliency improvements, and Agentic AI innovations. - This role will give exposure to investment decision making, value creation, and transformation. - The role is based in Austin, TX, or remote (US-based) locations and is available for an immediate start. - We support flexible ways of working with expectation of regular in-person collaboration for critical engagements. - Travel required for portfolio company visits, diligence site visits, and Vista team meetings. Qualifications - Passion and curiosity for technology, software and data, as well as what makes successful technology companies and investors. - 7+ years of experience in Enterprise or Cloud Architecture, engineering leadership, or technology transformation roles. - Broad exposure across multiple technology stacks, cloud platforms (AWS, Azure, GCP, etc.), and architectural patterns. - Experience leading or significantly contributing to an architecture guild, modernization program, or large-scale platform redesign. - Strong understanding of cloud economics and FinOps practices. - Ability to evaluate architecture maturity, scalability, and risk during technical diligence or due diligence processes. - Exceptional communication skills, with the ability to convey complex architectural concepts clearly to both technical and non-technical audiences. - Proven ability to collaborate effectively with CTOs, engineering leaders, and investors. - Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred. - Experience managing vendor relationships and evaluating emerging technology solutions. - Strong communication and project management skills. - Excellent analytical and problem-solving skills. - Ability to drive cross-functional analysis, integrating perspectives on technology, business and finance. - Ability to bring structure to large, complex questions with limited guidance. - Ability to multi-task, operate independently, and deliver on tight deadlines. - Willingness to travel up to 25% of time. Requirements - The annualized base pay range for this role is expected to be between $160,000-215,000. - Actual base pay could vary based on factors including but not limited to experience, subject matter expertise and the applicant's skill set. - The base pay is just one component of the total compensation package for employees. - Other rewards may include an annual cash bonus and a comprehensive benefits package. Company Description Vista is a leading global investment firm that invests exclusively in enterprise software, data and technology-enabled organizations across private equity, credit, public equity and permanent capital strategies. The firm brings an approach that prioritizes creating enduring market value for the benefit of its global ecosystem of investors, companies, customers and employees. - The focus of Vista’s Value Creation Team is to accelerate the corporate maturity of its companies. - Building software businesses that excel in product superiority and operational efficiency. - Their collective counsel and resources allow companies to unlock opportunity, scale their business and grow sustainably to deliver value to all stakeholders.

Company Overview Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients. We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing. Job Purpose and Role We are seeking a skilled Artificial Intelligence Engineer to join our team and contribute to enhancing our AI-driven Electronic Health Record (EHR) systems. This role focuses on developing and refining AI prompts to improve natural language processing (NLP) applications for healthcare workflows. Additionally, you will build applications that enhance user interactions with language-based data, ensuring seamless integration and effective utilization of AI capabilities within our healthcare solutions. Key Responsibilities: - Develop and refine prompts to ensure optimal performance of Large Language Models (LLMs) in healthcare applications. - Experiment with various prompt strategies and assess their impact on model responses. - Collaborate with developers and domain experts to integrate LLM capabilities into WRS Health’s EHR platforms. - Ensure prompts support accurate, context-aware responses tailored to healthcare-specific needs. - Evaluate and analyze model outputs to identify inconsistencies or areas for improvement. - Collaborate with data scientists to fine-tune models using healthcare-specific datasets. - Work closely with healthcare professionals and cross-functional teams to ensure LLMs align with user needs. - Educate internal teams on prompt engineering best practices and AI applications in healthcare. - Document prompt engineering methodologies, experiments, and outcomes for future reference. - Regularly report progress, challenges, and insights to stakeholders. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or a related field. - Proven experience with prompt engineering and fine-tuning Large Language Models (e.g., OpenAI GPT, Claude, Llama) - Hands-on experience in developing and deploying NLP models, particularly in the healthcare domain, is a plus. - Proven experience in developing and deploying machine learning models. - Strong programming skills in Python and other relevant languages - Proficiency in Python and NLP libraries (e.g., Hugging Face, spaCy, NLTK). - Familiarity with APIs for interacting with LLMs and cloud platforms - Knowledge with Lang Chain or other following LLM system building framework such as LlamaIndex, AgentGPT, Flowise, Tensorflow, GPT3 by OpenAI and others - Background in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) - Understanding of healthcare terminology and workflows is highly desirable. - Strong problem-solving and analytical abilities. - Excellent communication skills and the ability to work in cross-functional teams. - Detail-oriented with a focus on delivering high-quality solutions. Location: Remote Hours: Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department. WRS Health is an equal opportunity employer.

Company Overview Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients. We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing. Job Purpose and Role We are seeking a skilled Artificial Intelligence Engineer to join our team and contribute to enhancing our AI-driven Electronic Health Record (EHR) systems. This role focuses on developing and refining AI prompts to improve natural language processing (NLP) applications for healthcare workflows. Additionally, you will build applications that enhance user interactions with language-based data, ensuring seamless integration and effective utilization of AI capabilities within our healthcare solutions. Key Responsibilities: - Develop and refine prompts to ensure optimal performance of Large Language Models (LLMs) in healthcare applications. - Experiment with various prompt strategies and assess their impact on model responses. - Collaborate with developers and domain experts to integrate LLM capabilities into WRS Health’s EHR platforms. - Ensure prompts support accurate, context-aware responses tailored to healthcare-specific needs. - Evaluate and analyze model outputs to identify inconsistencies or areas for improvement. - Collaborate with data scientists to fine-tune models using healthcare-specific datasets. - Work closely with healthcare professionals and cross-functional teams to ensure LLMs align with user needs. - Educate internal teams on prompt engineering best practices and AI applications in healthcare. - Document prompt engineering methodologies, experiments, and outcomes for future reference. - Regularly report progress, challenges, and insights to stakeholders. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or a related field. - Proven experience with prompt engineering and fine-tuning Large Language Models (e.g., OpenAI GPT, Claude, Llama) - Hands-on experience in developing and deploying NLP models, particularly in the healthcare domain, is a plus. - Proven experience in developing and deploying machine learning models. - Strong programming skills in Python and other relevant languages - Proficiency in Python and NLP libraries (e.g., Hugging Face, spaCy, NLTK). - Familiarity with APIs for interacting with LLMs and cloud platforms - Knowledge with Lang Chain or other following LLM system building framework such as LlamaIndex, AgentGPT, Flowise, Tensorflow, GPT3 by OpenAI and others - Background in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) - Understanding of healthcare terminology and workflows is highly desirable. - Strong problem-solving and analytical abilities. - Excellent communication skills and the ability to work in cross-functional teams. - Detail-oriented with a focus on delivering high-quality solutions. Location: Remote Hours: Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department. WRS Health is an equal opportunity employer.