Description
The AI Engineer will design, implement, and deploy intelligent systems using LLMs, agent orchestration frameworks, and embedding-based retrieval solutions. The role involves building LLM-powered applications, automating multi-step tasks, developing vector-store pipelines, deploying cloud-native AI components, and monitoring production performance and cost. Required qualifications include 2–4 years of AI/ML application development experience, Python and LLM API skills, Databricks and Snowflake expertise, and experience with agent orchestration, embeddings, cloud delivery, CI/CD, and API integration.
