• Assess the current ElevenLabs environment and identify gaps, inefficiencies, and scalability issues. • Define and implement best-practice architecture and operational standards for: • Call agent configuration • Estate management • Reporting and operational visibility • Plan and execute migration activities from the current implementation to an improved target-state architecture. • Optimise and stabilise AI voice workflows and integrations. • Identify and recommend the most suitable middleware solutions for client integrations and operational workflows. • Create clear technical blueprints, operational procedures, and SOP documentation for ongoing platform management. • Troubleshoot and resolve issues across AI workflows, integrations, and automation processes. • Improve system reliability, maintainability, and operational efficiency across the platform. • Work closely with internal stakeholders to prioritise improvements and deliver practical solutions quickly. • Contribute ideas for automation and process improvements using AI-driven tooling and workflows.

• Assess the current ElevenLabs environment and identify gaps, inefficiencies, and scalability issues. • Define and implement best-practice architecture and operational standards for: • Call agent configuration • Estate management • Reporting and operational visibility • Plan and execute migration activities from the current implementation to an improved target-state architecture. • Optimise and stabilise AI voice workflows and integrations. • Identify and recommend the most suitable middleware solutions for client integrations and operational workflows. • Create clear technical blueprints, operational procedures, and SOP documentation for ongoing platform management. • Troubleshoot and resolve issues across AI workflows, integrations, and automation processes. • Improve system reliability, maintainability, and operational efficiency across the platform. • Work closely with internal stakeholders to prioritise improvements and deliver practical solutions quickly. • Contribute ideas for automation and process improvements using AI-driven tooling and workflows.

• Designing and building agentic AI systems including LLM orchestration, RAG pipelines, and multi-agent frameworks • Leading, mentoring, and growing AI Engineers • Conducting one-on-one meetings, performance reviews, and identifying career development opportunities • Establishing engineering practices, coding standards, and technical processes for AI systems

Role Description We are hiring a AI Fullstack Engineer (C#/React) with strong backend expertise in C#/.NET and hands-on experience integrating Microsoft Azure AI services into production systems. This is a highly technical, hands-on engineering role focused on building scalable, AI-powered applications using C# as the primary backend language and React for frontend development. The ideal candidate has delivered real-world systems in production and understands how to architect secure, high-performance applications in Azure. In your role as AI Fullstack Engineer (C#/React), you’ll have the unique opportunity to design and build advanced Generative AI tools, plug-ins, microservices, and extensions. Your work will be essential in leading innovation and delivering high-impact solutions that set new standards for excellence, further strengthening the client’s reputation for technological leadership, client satisfaction, and continuous growth. If you’re passionate about shaping the future of technology and eager to make a real difference, this is the perfect place to accelerate your career and leave a lasting mark. Responsibilities - Design, build, and deploy scalable full-stack applications using C#/.NET and React - AI Integration: Architect and implement AI-driven features, such as chatbots and voice-enabled tools, using the Microsoft AI stack. - API Architecture: Design, build, and maintain secure, high-performance RESTful APIs to connect frontends with backend services and third-party integrations. - Code Quality: Write clean, maintainable, and well-documented code while performing peer code reviews to ensure high engineering standards. - Build and maintain CI/CD pipelines using GitHub or Azure DevOps - Work with Docker/Kubernetes for containerized deployments - Collaborate with product and UX teams to translate business needs into technical solutions - Perform code reviews and enforce engineering best practices - Frontend: Expert-level proficiency in React. Proven experience in building complex, responsive, and high-performing user interfaces. - Proven experience delivering production systems using C# as the primary backend language - Understanding of backend architecture, APIs, and data access patterns - Microsoft AI Stack: Working knowledge of Azure AI Foundry, Azure OpenAI, and Speech AI systems. Experience integrating these into real-world applications (e.g., LLM-powered chatbots). - Integrations: Deep experience with RESTful API design and integrating external SaaS services. - Exposure to AI-related projects or integrations. Experience consuming AI services or integrating ML-powered APIs is a plus - Experience in cross-functional product teams - Excellent written and verbal communication skills for internal and client-facing interactions - Team-oriented mindset with a passion for continuous learning and staying up to date with emerging technologies - Proficient English communication skills (conversational B2+) Benefits - A stable, long-term contract with opportunities for career growth - Private health insurance - A remote-friendly culture that promotes work-life balance - Continuous training, mentorship, and learning programs to keep you at the forefront of the industry - Free access to AI training resources and state-of-the-art AI tools to elevate your daily work - A flexible Paid Time Off (PTO) policy as well as paid holiday days - Challenging, world-class software projects for clients in the US and LatAm - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment