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
–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

Estimated Compensation

$2 – $4 / hour

Extracted directly from the official role posting.

AI Engineer