AI-ML Engineer II
fortive
Job Description
- Lead the technical design and delivery of complex ML and Generative AI components, owning them from requirements through production.
- Develop, fine-tune, and optimize models and LLM pipelines with strong attention to accuracy, latency, cost, and reliability.
- Architect and improve advanced RAG systems, including hybrid retrieval, re-ranking, chunking strategy, and evaluation.
- Design and build production Agentic AI and multi-agent workflows with robust tool use, orchestration, and error handling.
- Drive engineering quality: establish patterns, conduct thorough code and design reviews, and reduce technical debt.
- Build and harden MLOps/LLMOps pipelines — CI/CD, automated evaluation, monitoring, drift detection, and retraining.
- Design integrations with enterprise applications, APIs, data platforms, and vector stores at scale.
- Define and apply prompt-engineering standards, evaluation frameworks, and guardrails for safe, high-quality LLM systems.
- Partner with product and business stakeholders to shape solution scope, estimate effort, and manage delivery risk.
- Mentor junior and mid-level engineers, and contribute to reusable frameworks, libraries, and accelerators.
- Evaluate emerging models, tools, and techniques and pilot them for practical enterprise use.
- Produce high-quality technical documentation, design specifications, and deployment artifacts.