About Telnyx Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications. We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team. Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers. The Opportunity Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability. You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale. What You’ll Do - Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing - Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem - Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads - Optimize performance, reliability, and observability in production environments - Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production - Troubleshoot, debug, and support critical systems running in production - Participate in code reviews and uphold high engineering and operational standards Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting. Who We’re Looking For - 3+ years of professional software development experience - Strong understanding of async programming, concurrency, and parallel execution - Experience building and operating microservice-based systems - Solid understanding of distributed systems and production reliability - Comfort working with databases at scale (relational, graph, or document) - Strong experience building backend or platform systems that support AI/ML workloads, or familiarity with AI tooling and inference systems - Excellent communication skills and the ability to work effectively across teams Nice to Haves - Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM) - Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train) - Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger) - Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding) - Background in Retrieval Augmented Generation (RAG) systems - Experience working with GPU stacks such as AMD ROCm - Experience with graph databases - Curiosity and enthusiasm for staying up-to-date with modern AI and ML practices How We Hire Across Our AI Teams Our AI Chapter is made up of multiple squads, including: - AI application & software engineering - Platform & infrastructure foundations - Troubleshooting, reliability, and production support - Data, storage, and embeddings - Observability and performance monitoring We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on: - Your strengths and interests - Team needs at the time - Where you’ll have the biggest long-term impact This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production. Why You’ll Love It Here At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to: - Store and serve vector embeddings at scale - Use open-source models with our hosted inference infrastructure - Deploy multimodal AI features across text, voice, and storage seamlessly You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking. #LI-KG1 #LI-BRAZIL

About Telnyx Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications. We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team. Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers. The Opportunity Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability. You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale. What You’ll Do - Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing - Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem - Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads - Optimize performance, reliability, and observability in production environments - Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production - Troubleshoot, debug, and support critical systems running in production - Participate in code reviews and uphold high engineering and operational standards Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting. Who We’re Looking For - 3+ years of professional software development experience - Strong understanding of async programming, concurrency, and parallel execution - Experience building and operating microservice-based systems - Solid understanding of distributed systems and production reliability - Comfort working with databases at scale (relational, graph, or document) - Strong experience building backend or platform systems that support AI/ML workloads, or familiarity with AI tooling and inference systems - Excellent communication skills and the ability to work effectively across teams Nice to Haves - Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM) - Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train) - Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger) - Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding) - Background in Retrieval Augmented Generation (RAG) systems - Experience working with GPU stacks such as AMD ROCm - Experience with graph databases - Curiosity and enthusiasm for staying up-to-date with modern AI and ML practices How We Hire Across Our AI Teams Our AI Chapter is made up of multiple squads, including: - AI application & software engineering - Platform & infrastructure foundations - Troubleshooting, reliability, and production support - Data, storage, and embeddings - Observability and performance monitoring We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on: - Your strengths and interests - Team needs at the time - Where you’ll have the biggest long-term impact This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production. Why You’ll Love It Here At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to: - Store and serve vector embeddings at scale - Use open-source models with our hosted inference infrastructure - Deploy multimodal AI features across text, voice, and storage seamlessly You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking. #LI-KG1 #LI-BRAZIL

Role Description SENATI, institución líder en formación tecnológica y reconocida como una de las mejores empresas para trabajar, certificada como Great Place to Work® Perú por su excelente clima laboral y cultura organizacional, se encuentra en búsqueda de profesionales en el idioma inglés con amplia experiencia docente para nuestra SEDE NUEVO CHIMBOTE. Si eres un profesional apasionado por la enseñanza, esta es tu oportunidad de formar parte de una institución con más de 60 años de trayectoria en la formación técnica y profesional. Qualifications - Título universitario en la especialidad pedagógica de Inglés. - Certificación Internacional del Idiomas Inglés (Mín. nivel B2). - Experiencia laboral profesional mínima de 3 años como instructor de Inglés en nivel superior. - Manejo de herramientas digitales aplicadas a la educación. - No contar con impedimentos para contratar (penal, judicial, policial, administrativo, entre otros). - Disponibilidad para dictar clases por horas en modalidad REMOTA. Requirements - Dictar clases virtuales de INGLÉS, entre otros. - Planificar y desarrollar sesiones de aprendizaje alineadas a la malla curricular. - Evaluar el desempeño de los estudiantes y brindar retroalimentación. - Fomentar el uso de tecnologías aplicadas a la enseñanza. Benefits - Ingreso a planilla con todos los beneficios de ley desde el primer día. - Pertenecer a una institución reconocida a nivel nacional por su excelencia en educación. - Capacitación y desarrollo continuo para potenciar tu carrera. - Beneficios institucionales diseñados para tu bienestar. Company Description En SENATI creemos en la igualdad de oportunidades: Todos los postulantes serán considerados sin distinción de origen étnico, sexo, edad, estado civil, orientación sexual, identidad de género, religión, discapacidad, nacionalidad o condición económica. (Ley N° 29973).

Role Description Contribute to the evolution of global communication at BlaBlaCar. You will support the LLM Translation Quality Project, building a scalable, language-agnostic engine that automates and elevates our content across 20+ languages. From defining AI translation quality standards to auditing LLM output, you will bridge the gap between customer-centric content and AI automation, ensuring our support platform is both technologically advanced and human-centric. - LLM Translation Quality Project: Contribute to the design, build and implementation of a language agnostic LLM process, including translation quality reviews and content reorganisation. - Content creation and localisation: Research and produce core content for support channels and manage localisation into 20 languages using AI-driven workflows. - End-to-End content projects: Lead the entire content project lifecycle, from initial conception to stakeholder implementation. - AI: Co-develop prompts and AI agents for our tools. Track key metrics to measure the impact of AI and ensure continuous model improvement. Qualifications - Exceptional written and verbal communication skills in English. - Proven experience managing content across multiple languages and markets. - A strong understanding of and hands-on experience with AI tools, with a genuine curiosity for building and testing new AI agents. - Adaptable and resourceful, with the proven ability to learn and master new software and tools quickly. - A strong sense of ownership and the ability to prioritise tasks effectively to meet business goals. - Highly organised, structured, and detail-oriented in your approach to content and project management. Requirements - A background in translation, linguistics, or similar. - French language skills are a plus. - Previous experience writing content for a customer service or community support audience. Benefits - BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. - We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.