Senior AI Engineer
Core
Design and ship production LLM and agent systems that turn data into intelligent, customer-facing intelligence products for the Institutional & Specialty segment. (via careerplan.io/jobs/R00306633-senior-ai-engineer-at-ecolab)
Role type
Senior IC machine-learning engineer (LLM & agents)
Builds
Production LLM applications, multi-agent workflows, and AI services/APIs
Domain
Generative AI, Large Language Models, Multi-agent systems
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Machine Learning, GenAI frameworks (LangChain, Hugging Face), Vector databases, Prompt engineering, RAG, Multi-agent orchestration, DevOps (CI/CD, Docker, Kubernetes)
Preferred skills
Databricks GenAI stack, Model Context Protocol (MCP), Agent memory management, Model fine-tuning/distillation, Microsoft Azure suite, Infrastructure-as-code
Technologies
LangChain, Anthropic, OpenAI, Hugging Face, Vector databases, Databricks, Azure, Kubernetes, Docker, Git
Responsibilities
Design end-to-end LLM applications from data layer to product integration; Build multi-agent workflows with tool-calling and orchestration; Engineer retrieval-augmented generation over vector indexes; Own production lifecycle including evaluation, monitoring, and cost optimization; Expose AI capabilities as production services and APIs; Implement guardrails and security for agentic systems
Seniority
Senior, hands-on IC
