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 Orchestration)
Builds
Applications leveraging LLM APIs for summarization, Q&A, and decision support; agentic workflows for multi-step task automation; embedding pipelines with vector stores for RAG and search.
Domain
Cloud-native AI/ML, LLMs, Agent Orchestration, Vector Databases
Deliverable
production ML models
Required skills
Python, LLM API integration, Prompt workflows, Databricks (Spark SQL, PySpark, Delta Lake), Snowflake, Agent orchestration, Embeddings, Vector databases, CI/CD, Azure
Preferred skills
None stated
Technologies
Python, Databricks, Snowflake, Azure, LLM APIs, Vector stores
Responsibilities
Build applications leveraging LLM APIs; Implement agentic workflows; Develop embedding pipelines; Deploy AI components into cloud platforms; Monitor model behaviors in production.
Seniority
Mid-level (2–4 years experience)
