Site Reliability Engineer III

The company is building next-generation Generative AI platforms to support AI projects across Global Markets. The Site Reliability Engineer III will design, build, and manage reusable tools for Generative AI and Retrieval-Augmented Generation, while ensuring software is secure, scalable, compliant, maintainable, and testable. The role also researches tools and capabilities for advanced analytics user experiences and demonstrates prototypes.

Responsibilities:

• Design, build, and manage reusable tools for Generative AI and Retrieval-Augmented Generation (RAG)
• Ensure software meets all functional, non-functional, and compliance requirements and is easy to maintain, integrate, and test from the start
• Research on new tools and capabilities for better UI and UX for advanced analytics platform, quick prototype and demonstrate the features and capabilities, and participate on various user forums

Requirements:

• 3 years OOP in Python programming experience with expert level development skills
• Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem
• Hands-on experience building frameworks using MLOps, Fine-Tuning techniques, Inference Frameworks
• Expertise in application development in one or more areas: MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API Gateway
• Prior work experience at client or in client's Industry
• Applicants must be able to work directly for Artech on W2
• Hands-on DevOps experience with enterprise development tools such as Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)
• Experience building deploying Gen AI inferencing platform with open-source toolsets, building inferencing servicing capabilities (AI Gateway, Policy store, Observability) for RAG/ MCP use cases
• Hands-on experience on driving and maintaining a culture of quality, innovation, and experimentation