• Responsible for developing, implementing, and deploying artificial intelligence (AI) models and systems • Design, develop, and implement AI models and algorithms to solve complex problems • Clean, preprocess, and analyze large datasets to be used for training AI models • Select appropriate machine learning algorithms • Integrate AI models into existing systems or develop new systems to deploy AI solutions • Continuously optimize AI models for accuracy, efficiency, and scalability • Stay up to date with the latest developments in AI and machine learning • Work closely with data scientists, data and software engineers, and other stakeholders • Create detailed documentation for AI models, processes, and systems • Deploy AI models into production and monitor their performance over time • Ensure AI models are developed and deployed ethically, considering potential biases and fairness.

• Design, develop, and deploy enterprise AI and GenAI services • Guide solutions from PoC to secure production rollout • Build and integrate multi-agent AI systems and LLM-based products • Manage ingestion, transformation, caching, and indexing workflows • Support distributed systems and big data processing environments • Implement CI/CD pipelines and MLOps best practices • Automate model training, validation, testing, and deployment • Work with Azure ML, Databricks, or AWS environments • Implement secure API design, secrets management, and access control • Contribute to security concept design • Ensure observability, reliability, and compliance in AI deployments • Collaborate with AI Product Owners, Data Scientists, and stakeholders • Create architecture diagrams, ADRs, and technical documentation • Ensure high-quality, well-documented codebases

Job Title: Addiction Worker Instructor Location: Remote Hours: Monday to Friday, 6:00 pm - 10:00 pm EST Start Date: ASAP End Date: August 14, 2026 Compensation: $25-$30/hr The Opportunity: The Instructor is responsible for delivering engaging and effective instruction to students enrolled in the Addiction Worker program. Instructors are expected to provide students with the knowledge, skills, and practical experience needed to succeed in their chosen career paths. This role involves creating a dynamic and supportive learning environment, developing instructional materials, and assessing student progress. What you'll be doing: - Deliver high-quality classroom instruction, using a variety of teaching methods and resources to accommodate diverse learning styles. Foster a positive and inclusive learning environment. - Design and administer assessments, quizzes, exams, and assignments to evaluate student performance. Provide constructive feedback and support to help students achieve their academic goals. - Encourage active student participation and engagement in the learning process. Offer guidance and mentorship to students. - Offer academic and career counseling to students, providing guidance on academic progress, study techniques, and career opportunities. - Collaborate with colleagues, Program Coordinators/Faculty Heads, and College administrators to improve program quality, share best practices, and contribute to the overall success of the College. - Maintain accurate records of student attendance, grades, and other relevant information. Ensure compliance with College policies and regulations. What you bring to the position: - Bachelor's degree in Social Services, Psychology and/or Addiction Counseling. Masters preferred. - Membership with the Canadian Addiction Counselors Certification Federation (CACCF) is an asset. - 3–5+ years direct clinical experience in addiction treatment. - Adult education and teaching experience preferred. This job posting is for a current vacancy. We are committed to building an intentionally inclusive environment that engages, supports, and empowers diversity and belonging in the workplace and communities we serve. We are proud to be an equal opportunity employer and welcome applications from candidates regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age. Applicants with disabilities may notify us of any reasonable accommodations needed to support your participation in the recruitment process. We thank all applicants for their interest, however, only those selected for an interview will be contacted. To learn more about triOS College, visit our website 🌐: www.triOS.com To learn more about Eastern College, visit our website 🌐: www.easterncollege.com

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-VIETNAM #LI-BRAZIL