As an AI Engineer, you will design, implement, and deploy intelligent systems powered by LLMs, agent orchestration frameworks, and embedding-based retrieval solutions
Job Summary
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.
You will build applications leveraging LLM APIs for summarization, Q&A, and decision support while deploying AI components into cloud platforms using containerized CI/CD practices.
Matching Summary
As an AI Engineer, you will design, implement, and deploy intelligent systems powered by LLMs, agent orchestration frameworks, and embedding-based retrieval solutions.
Skills & Requirements
Must-have
LLM API integration and prompt workflows
Python programming skills
Databricks Spark SQL and PySpark
Snowflake experience
Agent orchestration and vector databases
Cloud-native delivery on Azure
Containerized CI/CD deployment
Nice-to-have
Embedding pipelines for RAG and search optimization