Senior AI Engineer

Trinetix is seeking a Senior AI Engineer to join their team collaborating with a global telecommunications leader. In this role, you will design and implement large-scale AI initiatives focused on intelligent automation, predictive insights, and AI-driven workflows for network operations.

You will work on GenAI applications, AIOps intelligence, and RAG-based systems to transform how complex telecom infrastructure is monitored, analyzed, and operated.

• 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 IP routing, EVPN/L3VPN, telemetry, and optical networking concepts
• Translate technical capabilities into measurable business impact through KPIs, ROI analysis, and product-focused thinking

• 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, hypothesis-driven analysis
• Ability to work with structured and unstructured data and conduct exploratory analysis
• Experience collaborating across engineering, architecture, IT, and operations teams
• Strong communication skills to simplify AI concepts for non-experts
• Ideally: RAG-based systems experience, MLOps practices, agent workflows knowledge, telecom AI use cases exposure, cloud-native AI platforms familiarity

Benefits:

• 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, and pet care
• Flexible working hours
• Inclusive and supportive culture