AI ML Engineer 6564206

About the job

Responsibilities

• Design, build, and deploy GenAI applications, including RAG pipelines with embeddings, vector search, and grounded, citation-backed responses.
• Develop and maintain Python and SQL data pipelines (ETL/ELT) on AWS and Snowflake to support ML models, reporting, and personalization.
• Train, evaluate, and deploy ML models, including feature engineering and ongoing LLM evaluation for accuracy and reliability.
• Build and expose REST APIs and microservices (e.g., FastAPI) to integrate AI capabilities into applications.
• Create KPI dashboards and automated reporting, and investigate production data issues to improve data quality.
• Apply CI/CD and automated testing for reliable releases in a regulated environment.
• Document pipeline architecture and experiments for reproducibility and knowledge transfer.

Requirements

• A minimum of 3 years of professional experience in software, data, or AI engineering.
• A minimum of 3 years of hands-on experience with Python and SQL for data processing and pipeline development.
• A minimum of 1 year of experience building GenAI/LLM solutions (OpenAI APIs, RAG, embeddings, prompt engineering).
• A minimum of 1 year of experience with AWS (e.g., Lambda, SageMaker) and containerization (Docker).
• Bachelor's Degree.

Benefits

• Competitive rewards
• Access to benefits programs
• World-class learning resources
• Medical, dental, vision, and long-term disability coverage
• 401(k) plan
• Paid time off