Sr. Applied AI Engineer at AssetWatch, Inc.

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.