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