AI Engineer
Core
Design, implement, and deploy intelligent systems powered by LLMs, agent orchestration, and embedding-based retrieval for scalable cloud-native workflows.
Role type
AI Engineer (LLM & Agent Systems)
Builds
AI applications, agentic workflows, embedding pipelines, and cloud-deployed components
Domain
Artificial Intelligence, Large Language Models, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, LLM API integration, prompt engineering, Databricks (Spark SQL, PySpark, Delta Lake), Snowflake, agent orchestration, vector databases, CI/CD, Azure cloud
Preferred skills
RAG implementation, search optimization, model monitoring, cost-efficiency optimization
Technologies
Python, LLM APIs, Databricks, Snowflake, Azure, Vector Stores
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
Seniority
Mid-level, hands-on IC