ML Engineer II

Job Summary

Sr AI Engineer: 7+ years of experience in designing and developing full-stack AI-enabled applications, integrating AI and Generative AI capabilities

Responsibilities

• Build and deploy GenAI-powered systems, including Retrieval-Augmented Generation (RAG), LLM integrations, and agentic workflows
• Develop, deploy, and maintain Python-based microservices and APIs (FastAPI preferred) to support AI and automation use cases
• Create scalable data models and pipelines to support analytics, AI, and automation workflows
• Implement data quality frameworks, validation checks, and monitoring mechanisms for reliable AI-driven systems
• Collaborate with business and technical teams to identify opportunities and translate them into AI solutions
• Contribute to CI/CD pipelines, DevOps practices, containerization (Docker/Kubernetes), and release management

Qualifications

• 7+ years of experience in designing and developing full-stack AI-enabled applications, integrating AI and Generative AI capabilities
• Strong programming expertise in Python and experience building scalable backend systems
• Experience integrating APIs, microservices, and external AI services into automation workflows
• Experience with containerization and orchestration (Docker, Kubernetes)
• Proficiency in cloud platforms such as AWS or Azure

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