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About this role
AI Engineer
As an AI Engineer, you will design, implement, and deploy intelligent systems powered by LLMs, agent orchestration frameworks, and embedding-based retrieval solutions. This role blends hands-on engineering with solution thinking, focusing on scalable workflows and cloud-native delivery.
Core Responsibilities:
- Build applications leveraging LLM APIs for summarization, Q&A, and decision support
- Implement agentic workflows for multi-step task automation
- Develop embedding pipelines integrated with vector stores for RAG and search optimization
- Deploy AI components into cloud platforms using containerized CI/CD practices
- Monitor model behaviors in production and optimize for performance and cost-efficiency
Required Skills:
- 2-4 years of experience in AI/ML application development
- Strong programming skills in Python with LLM API integration and prompt workflows
- Hands-on experience with Databricks (Spark SQL, PySpark, Delta Lake) and Snowflake
- Familiarity with agent orchestration, embeddings, vector databases, and agentic tools
- Experience with cloud-native delivery (Azure), CI/CD, and API integration patterns
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About Ecolab
Ecolab
Waste Management
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Beaver Creek
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A trusted partner for millions of customers, Ecolab (NYSE: ECL) is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, Ecolab has annual sales of $15 billion, employs more than 48,000 associates and operates in more than 170 countries around the world. The company delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use. Ecolab’s innovative solutions improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets.
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