About us:
At Articul8 AI, we build enterprise-grade Generative AI platforms that create real-world impact. Our team is driven by technical excellence, bold innovation, and a mission to empower businesses and communities through transformative AI solutions.
Join a company that values craftsmanship, creativity, and making a difference.
Job Description:
We’re seeking a Principal AI Infrastructure Engineer to architect, scale, and optimize the backend infrastructure powering our enterprise GenAI platform.
In this hands-on leadership role, you’ll design distributed systems for AI/ML at scale, optimize infrastructure for large model workloads, and drive innovation at the intersection of cloud engineering and AI. This is a high-impact opportunity to shape the infrastructure behind next-generation GenAI products.
Responsibilities:
Lead the architecture and delivery of highly scalable, cloud-native, and cloud-agnostic infrastructure supporting AI/ML workflows.
Design and implement backend systems optimized for GenAI workloads, including large-scale model training, tuning, and serving.
Partner with Product, Applied Research, and Engineering teams to influence platform direction and technical strategy.
Champion operational excellence in automation, security, networking, observability, and cost optimization.
Mentor engineers, promote best practices, and help grow a strong technical culture.
Participate in on-call rotation as needed to ensure platform reliability and incident management.
Required Qualifications
8+ years of experience building and operating scalable, high-performance cloud infrastructure on AWS, GCP, or Azure.
Expertise with Infrastructure as Code (e.g., Terraform, CloudFormation).
Practical experience with containerization and orchestration technologies (Docker, Kubernetes).
Strong background in distributed systems, network architecture, and security best practices.
Familiarity with service mesh (e.g., Istio, Linkerd) and API gateways (e.g., Kong, Traefik).
Proficiency in scripting and automation (e.g., Python, Bash).
Proven ability to lead technical initiatives and mentor engineers.
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
Preferred Qualifications
10+ years of infrastructure engineering experience, including large-scale AI/ML or data platform deployments.
Master’s degree in Computer Science, Engineering, or a related technical field.
Experience building and optimizing infrastructure for training, fine-tuning, and deploying LLMs in production.
Knowledge of orchestration frameworks like Flyte, Kubeflow, or MLflow.
Deep understanding of SRE/DevOps principles, including automation, observability, and incident response at scale.
Previous experience in a high-growth startup or enterprise AI/SaaS environment.
Professional Attributes:
Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.
Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.
Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals.
Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.
Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.
Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.
What We Offer:
By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.
If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.
