Sr. Applied AI Engineer

AssetWatch seeks a senior engineer to architect reusable AI systems accelerating organizational innovation. The role emphasizes rapidly prototyping LLM and agent-based workflows while partnering with data science teams and leadership.

Key Responsibilities:

• Design end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures
• Rapidly prototype internal AI assistants and automation tools
• Integrate data science models into agent-based workflows
• Develop shared connectors to major LLM providers
• Create reusable agent templates and AI development patterns
• Design modular systems with clean API boundaries for production handoff
• Implement evaluation, logging, and tracing patterns

Required Skills:

• 6+ years professional software or machine learning engineering experience
• Strong Python proficiency with modular, testable codebases
• SQL proficiency (intermediate querying, basic ETL)
• Hands-on LLM application development experience
• Vector database experience and retrieval strategy design
• RESTful or event-driven API design
• Agent frameworks familiarity (LangChain, LlamaIndex, Semantic Kernel, etc.)
• ML/statistical model integration into production systems
• Understanding of LLM evaluation concepts

Preferred: Rapid prototyping, internal AI tooling, AWS, Docker, streaming/ETL pipelines, observability practices Education: BS in CS, Engineering, or Mathematics required; MS/PhD preferred

Benefits: Competitive compensation with stock options, flexible scheduling, comprehensive benefits, retirement matching, unlimited PTO. Remote-first with distributed US/Ontario, Canada presence. Travel required a couple times a year domestically within the U.S.