Description
The AI Engineer will design, implement, and deploy intelligent systems using LLMs, agent orchestration frameworks, and embedding-based retrieval solutions. Responsibilities include building LLM-powered applications, implementing multi-step agentic workflows, developing vector-store pipelines for RAG and search, deploying cloud-native AI components, and monitoring production model 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, cloud delivery, CI/CD, and API integration.
