Lead AI Engineer - ML/LLM Ops & Agentic AI at shifttechnology

As a Lead AI Engineer specializing in ML/LLM Ops and Agentic AI, you will play a pivotal role in shaping the future of AI-driven solutions that empower insurers to operate efficiently and effectively. Your expertise will guide the development of innovative AI agents that enhance decision-making processes, ensuring that our technology meets the highest standards of accuracy, security, and explainability. In this role, you will engage in day-to-day operations involving object-oriented programming (OOP), Kubernetes, and infrastructure management, focusing on LLM orchestration within Azure environments. Your work will leverage a robust tech stack including Python, GenAI, Terraform, and MLOps tools like MLflow and Databricks. You will also navigate advanced frameworks such as Graph ML and Agentic frameworks, while ensuring compliance with OpenTelemetry, RAG, and security protocols to deliver impactful solutions. Joining our dynamic team means collaborating with top-tier professionals who are dedicated to innovation and excellence. We provide ample opportunities for growth, allowing you to expand your skills in cutting-edge AI technologies while contributing to meaningful projects that make a difference in the industry. This role is unique as it places you at the intersection of technology and real-world application, enabling you to lead initiatives that directly transform the operational landscape of insurers. Your contributions will not only advance your career but also shape the future of AI in critical sectors.

Design production-grade agentic workflows for LLM orchestration and tool integration. Build and implement reference architectures for model handling and deterministic code. Lead the development of LLMOps standards, including evaluation harnesses and workflows. Architect scalable infrastructure using Kubernetes and Azure for ML operations. Drive the integration of GenAI technologies into existing systems for enhanced functionality. Develop and maintain MLOps pipelines with Terraform and MLflow for efficient deployment. Collaborate on Graph ML solutions and OpenTelemetry for observability and performance. Ensure security and compliance standards are met across all AI projects and systems.

Competitive salary and comprehensive health benefits to support your well-being. Generous health and wellness programs to promote a balanced lifestyle. Flexible work hours and remote options to enhance work-life balance. Encouragement of time off to recharge and maintain personal commitments. Access to training programs and resources for continuous professional growth. Opportunities for attending conferences and workshops in the AI field. Inclusive company culture that values creativity and collaboration. Fun team events and perks to foster a vibrant workplace atmosphere.