Design and enhance backend architectures for AI and LLM-powered systems

Deploy and scale LLM-driven applications across cloud platforms

Build and maintain CI/CD pipelines for smooth automation of deployment

Oversee the health and efficiency of AI services through performance tuning

Implement comprehensive observability and logging for LLM API usage

Partner with DevOps and Data Science teams to boost system robustness

Administer cloud infrastructure, focusing on Azure, for AI application hosting

Create APIs and microservices aligned with AI agent functionalities

7+ years of expertise in machine learning engineering with a backend emphasis

Proficient in integrating and utilizing OpenAI APIs for AI service development

Experienced with MLOps and CI/CD frameworks such as Orion, ArgoCD, and Opsera

Competent in monitoring tools like Grafana, Dynatrace, and ThoughtSpot

Strong background in cloud technologies, particularly Azure, Apache Spark, and Databricks

Advanced skills in Python programming and microservice architecture principles

Fluent English communication skills at B2 (Upper-Intermediate) level

Familiarity with data science approaches and techniques

Hands-on experience with natural language processing methods

In-depth understanding of OpenAI API capabilities and applications