AI Engineer

Trinetix is looking for a skilled AI Engineer. Join our team at Trinetix and collaborate on a project with a global telecommunications leader operating one of the world’s most reliable Internet backbones across more than 100 countries. In this role, you will contribute to large-scale AI initiatives focused on improving network operations through intelligent automation, predictive insights, and AI-driven workflows. You will work on GenAI applications, AIOps intelligence, and RAG-based systems, helping to transform how complex telecom infrastructure is monitored, analyzed, and operated. The role combines engineering, data, and product thinking to deliver AI solutions with measurable business impact. Join us and grow your career in a dynamic international environment while helping shape the future of AI-driven network operations. What You’ll Do Design and implement AI/ML pipelines, including LLM-based applications, GenAI frameworks, and vector retrieval systems. Build production-grade AI integrations in Python, ensuring scalability and reliability. Apply enterprise AI patterns such as RAG, observability, agent workflows, and model evaluation. Architect secure, scalable integrations between cloud platforms and enterprise systems. Develop data pipelines, event streams, and observability frameworks to support AI at scale. Collaborate with Data Scientists on feature engineering, model evaluation, and experiment design. Contribute to AI-driven telecom solutions by learning and applying concepts in IP routing, EVPN/L3VPN, telemetry, and optical networking. Translate technical capabilities into measurable business impact through KPIs, ROI analysis, and product-focused thinking. About You 5+ years of experience in data, analytics, machine learning, or AI-driven environments. Strong hands-on expertise with LLMs, GenAI frameworks, ML/analytics pipelines, and vector databases. Proficiency in Python and experience delivering production-grade AI solutions. Solid understanding of enterprise AI patterns (RAG, observability, agent workflows, model evaluation). Knowledge of data pipelines, event-driven architectures, and system-to-system integration. Familiarity with data science practices: feature engineering, statistical modeling, experiment design, and hypothesis-driven analysis. Ability to work with structured and unstructured data, conduct exploratory analysis, and guide AI solution design. Experience collaborating across engineering, architecture, IT, and operations teams. Strong communication skills to simplify AI concepts for non-experts. Curiosity and adaptability to learn emerging AI tools and telecom domain concepts. Must-have Technologies & Skills AI/ML Engineering: LLMs, GenAI frameworks, vector retrieval systems, ML lifecycle practices. Programming: Python (production-grade AI integrations). Architecture & Integration: Cloud-native integrations, event streams, observability, secure connectivity patterns. Data Science Collaboration: Feature engineering, model evaluation, experiment design. Telecom Learning Ability: Motivation to learn IP routing, EVPN/L3VPN, telemetry, optical networking. Product Thinking: KPI design, ROI measurement, business impact translation. Ideally, You Also Have Several of the Following Experience with RAG-based systems and advanced observability frameworks. Familiarity with MLOps practices (model monitoring, validation, lifecycle management). Knowledge of agent workflows and orchestration patterns in enterprise AI. Exposure to telecom-specific AI use cases (network telemetry, predictive maintenance, intelligent automation). Сloud-native AI platforms and scalable data infrastructure. What we offer Continuous learning and career growth opportunities Professional training and English/Spanish language classes Comprehensive medical insurance Mental health support Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more Flexible working hours Inclusive and supportive culture About Us Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world. Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture. Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics. To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice