We are seeking a highly skilled Senior Technology Engineer with strong expertise in AI/ML platforms, MLOps, and scalable inference systems. The ideal candidate will play a critical role in designing, deploying, and optimizing AI-driven solutions across on-premises and cloud environments, with a focus on GenAI and LLM-based applications.

Requirements

Key Responsibilities

• Design, build, and maintain containerized applications using OpenShift, OpenShift AI, Kubernetes, and Helm Charts.
• Integrate and optimize AI inference engines such as Triton Inference Server and vLLM for high-performance model serving.
• Lead end-to-end model lifecycle management, including deployment, monitoring, scaling, and maintenance in production environments.
• Implement robust monitoring and alerting frameworks using Prometheus and Grafana.
• Collaborate on GenAI and Large Language Model (LLM) initiatives, including Agentic AI systems.
• Develop and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.
• Build automation tools and scripts using Python to improve system efficiency and reliability.
• Architect and manage AI/ML solutions on AWS Cloud, leveraging services such as Amazon SageMaker and AWS Bedrock (preferred).
• Design and enhance AI platforms across hybrid environments (on-premise and cloud).
• Ensure systems are scalable, resilient, and high-performing.
• Contribute to architecture design decisions and define the future roadmap of AI platform capabilities.

Required Skills & Experience

• Strong experience in MLOps, AI/ML platform engineering, or related roles.
• Expertise in container orchestration using Kubernetes/OpenShift.
• Hands-on experience with AI inference optimization (TensorRT, ONNX Runtime, Triton, vLLM).
• Proficiency in cloud platforms (AWS preferred).
• Experience with CI/CD and Infrastructure as Code tools (Jenkins, Terraform, Ansible).
• Strong programming skills in Python.
• Knowledge of monitoring tools like Prometheus and Grafana.
• Experience working with LLMs, GenAI, or AI-based products is highly desirable.

Preferred Qualifications

• Experience with GPU acceleration and performance tuning.
• Exposure to Agentic AI frameworks and LLM orchestration tools.
• Familiarity with hybrid cloud architectures.

Soft Skills

• Strong problem-solving and analytical thinking
• Ability to work in fast-paced, collaborative environments
• Excellent communication and stakeholder management skills