Role Description We are looking for a senior Ruby on Rails developer to help us build reliable, scalable products and apply AI/LLM technologies where they create real value. This is a hands-on engineering role for someone who can own complex features end to end, make strong technical decisions, and work across backend architecture, production systems, testing, and AI-assisted product development. You should be excited about AI, but pragmatic enough to know when a simple, deterministic solution is better than an LLM call. - Owning features from technical design to production - Building and maintaining Ruby on Rails systems used at scale - Designing AI/LLM-assisted features and workflows where they improve product quality or user experience - Working with LLM APIs, prompts, retrieval/context strategies, and AI-assisted development tools - Making trade-offs around performance, reliability, cost, latency, security, and maintainability - Writing and maintaining automated tests, including unit, integration, and E2E tests - Debugging production issues and improving system reliability Qualifications - Strong professional experience with Ruby on Rails, ideally at senior level - Experience building and running production systems used by real customers - Strong backend skills, including databases, API design, performance, background jobs, and security - Ability to break down ambiguous problems and propose practical technical solutions - Hands-on interest or experience with AI/LLM technologies - Good judgment about when to use AI and when simpler engineering approaches are better - Strong testing habits and care for long-term code quality - A responsible, curious, flexible mindset: willing to debug, deploy, investigate, learn, and own outcomes Requirements - Nice to have: - Experience with React - CI/CD, background jobs, or AWS experience - Experience building AI-powered product features in production - Familiarity with embeddings, vector search, RAG, evals, or LLM observability - Experience with text-processing, localization, translation, or multilingual products Benefits - Stable & self-funded: Founded in 2007, profitable, and independent - Industry leaders: Creators of WPML, the #1 multilingual plugin for WordPress, used on 1.5M+ sites - Fully remote, async-friendly: Work from anywhere within EMEA hours - Engineering-driven culture: Ownership, autonomy, testing, and thoughtful problem-solving - Fair compensation and great benefits: Designed to support your well-being both inside and outside of work

• You'll join the Messaging Platform team - the core of our product - working on the backend systems that power partner and client APIs, WhatsApp channel lifecycle, billing, integrations, and more. • This isn't a ticket-grinding role. You'll own domains, shape architecture, and see the downstream impact of your decisions directly in production. • We work in Python across services that need to be correct, observable, and maintainable - not just fast to ship. You'll work closely with a small, experienced team and a tech-first leadership that values deep understanding over surface-level velocity.

• Designing & building applications using JavaScript. • Supporting component design, development and maintenance and taking responsibility for personal technical quality standards within the project team. • Assisting with defining structured practices, especially in source code management, building and deployment. • Designing and implementing data storage solutions. • Optimising performance in applications for maximum speed and scalability. • Getting feedback from users and clients, and building solutions for them. • Assisting with the analysis of client requirements. • Working with and supporting Technical Leaders in project execution and timely delivery. • Collaborating with client teams.

• Develop and maintain analyzer workflow logic within the ECL platform, owning the backend processes that drive analyzer operations end-to-end • Implement and extend workflow orchestration — managing analyzer state transitions, operational sequencing, and runtime event handling • Collaborate with the Analyzer Integration Engineer on the communication layer between ECL and connected analyzers • Support the DCU modernization effort by identifying workflow logic that can be extracted and repackaged into shared .NET libraries • Work with QA to ensure workflow correctness and reliability across analyzer types and edge cases • Participate in knowledge transfer from departing Hydra resources to preserve continuity of analyzer workflow behavior.