AssetWatch, Inc. is a company focused on applying AI technologies, and they are seeking a Sr. Applied AI Engineer to design and build end-to-end LLM-powered workflows. The role involves rapid prototyping of AI assistants, developing connectors, and collaborating with data science teams to operationalize models.
Responsibilities:
- Design and build end-to-end LLM-powered workflows
- Rapidly prototype internal AI assistants and automation tools
- Develop shared connectors to major LLM providers and internal data sources
- Create reusable agent templates and AI development patterns
- Partner with data science teams to operationalize models
- Communicate architectural decisions to stakeholders
Requirements:
- BS in Computer Science, Engineering, Mathematics, or related field
- 6+ years of professional software or machine learning engineering experience
- Proficiency in Python and SQL
- Experience developing LLM-powered applications and working with vector databases
- Familiarity with agent frameworks or orchestration libraries
- Experience building internal AI tooling or developer enablement frameworks
- Familiarity with cloud environments (AWS preferred) and containerization (Docker)