About this role
AI Engineer As an AI Engineer, you will design, implement, and deploy intelligent systems powered by LLMs, agent orchestration frameworks, and embedding-based retrieval solutions. This role blends hands-on engineering with solution thinking, focusing on scalable workflows and cloud-native delivery.
Core Responsibilities • Build applications leveraging LLM APIs for summarization, Q&A, and decision support • Implement agentic workflows for multi-step task automation • Develop embedding pipelines integrated with vector stores for RAG and search optimization • Deploy AI components into cloud platforms using containerized CI/CD practices • Monitor model behaviors in production and optimize for performance and cost-efficiency
Required Skills • 2–4 years of experience in AI/ML application development • Strong programming skills in Python with LLM API integration and prompt workflows • Hands-on experience with Databricks (Spark SQL, PySpark, Delta Lake) and Snowflake • Familiarity with agent orchestration, embeddings, vector databases, and agentic tools • Experience with cloud-native delivery (Azure), CI/CD, and API integration patterns