AI Engineer
Description
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
- 2–4 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