AI Engineer
Core
Design, implement, and deploy intelligent systems powered by LLMs, agent orchestration, and embedding-based retrieval solutions.
Role type
AI Engineer (LLM & Agent Systems)
Builds
Applications leveraging LLM APIs for summarization, Q&A, and decision support; agentic workflows for multi-step task automation; embedding pipelines integrated with vector stores for RAG and search optimization.
Domain
Artificial Intelligence / Machine Learning / Cloud Computing
Deliverable
production ML models
Required skills
Python, LLM API integration, prompt workflows, Databricks (Spark SQL, PySpark, Delta Lake), Snowflake, agent orchestration, embeddings, vector databases, cloud-native delivery (Azure), CI/CD, API integration
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
