Senior AI Engineer
The Senior AI Engineer will design and deploy LLM‑driven applications, including summarization, Q&A, and agentic workflows, on cloud platforms using containerized CI/CD pipelines. They will also build embedding pipelines with vector stores and monitor model performance to ensure cost‑effective production operation.
Skills required
About this role
Sr.AI Engineer
As an Sr.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
• 5 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
