Job Title: Senior Applied AI Engineer Company Name: AssetWatch Job Url: https://job-boards.greenhouse.io/assetwatch/jobs/4662993005?gh_src=346570ea5us Job Description: AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.  We are hiring a Senior Applied AI Engineer to design and build reusable AI systems that accelerate innovation across the organization. This is a senior individual contributor role focused on rapidly prototyping LLM and agent-based workflows, architecting clean and reusable patterns, and partnering closely with our specialty data science team and Head of AI.  You will translate strategy and ideas into structured, modular systems that can be handed off to production engineering teams or integrated via well-defined APIs.   We expect end-to-end ownership, pragmatic tradeoffs, and a bias for action.    Key Responsibilities  AI Prototyping & Workflow Development  Design and build end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures  Rapidly prototype internal AI assistants and automation tools across business functions  Integrate data science models into agent-based workflows  Translate ambiguous ideas into practical, working systems  Reusable Architecture & Enablement  Develop shared connectors to major LLM providers and internal data sources  Create reusable agent templates and AI development patterns  Design modular systems with clean API boundaries for production handoff  Implement lightweight evaluation, logging, and tracing patterns appropriate for internal deployment  Cross-Functional Collaboration  Partner deeply with specialty data science teams to operationalize models  Work closely with the Head of AI to shape technical direction and AI strategy  Communicate architectural decisions and tradeoffs clearly to technical and non-technical stakeholders    Qualifications  Education  BS in Computer Science, Engineering, Mathematics, or related field required; MS/PhD preferred but not required if experience demonstrates equivalent capability.  Technical & professional experience   6+ years of professional software or machine learning engineering experience building backend or distributed systems  Strong proficiency in Python, including experience building modular, testable, and well-structured codebases.   Proficiency in SQL expected, including intermediate querying and basic ETL jobs  Hands-on experience developing LLM-powered applications, including RAG pipelines, prompt orchestration, structured outputs, and tool-calling workflows  Experience working with vector databases and designing retrieval strategies  Experience designing and exposing RESTful or event-driven APIs for internal or external consumption  Familiarity with agent frameworks or orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar)  Experience integrating ML or statistical model outputs into production-oriented systems  Understanding of evaluation concepts for LLM systems (prompt versioning, offline evals, feedback loops, or guardrails)  Comfortable operating in ambiguity and driving initiatives end-to-end with minimal oversight  Preferred   Worked in rapid prototyping and deployment ecosystems  Experience building internal AI tooling, SDKs, or developer enablement frameworks  Familiarity with cloud environments (AWS preferred), containerization (Docker), and basic deployment patterns  Experience working with streaming or ETL pipelines for ingesting structured and unstructured data  Exposure to observability practices (logging, tracing, metrics) in application systems  Experience handing off prototypes to production engineering teams in a clean, scalable manner  #LI-REMOTE What We Offer:  AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.  Competitive compensation package including stock options  Flexible work schedule  Comprehensive benefits including retirement plan match  Opportunity to make a real impact every day  Work with a dynamic and growing team  Unlimited PTO  We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.