Jobs → Engineering → AI Infrastructure Engineer

About the Role We are looking for an AI Infrastructure Engineer to join our team. This role focuses on building and maintaining internal tools for GenAI and LLM applications. Key Responsibilities • Develop and maintain GenAI/LLM internal tools • Build and integrate MCP servers, tools, and systems • Implement authentication, authorization, and PII masking • Utilize Celery, Redis, and Labelbox for task management • Migrate to OpenTelemetry and implement observability • Design and manage data/ML pipelines using Airflow, Spark, Hive, or Trino Requirements • Strong Python, FastAPI, and Streamlit development experience • Hands-on experience building GenAI/LLM internal tools • Experience with MCP servers, tools, and integrations • Knowledge of authentication, authorization, and PII masking • Experience with Celery, Redis, and Labelbox • OpenTelemetry and observability migration experience • Data/ML pipelines using Airflow, Spark, Hive, or Trino