AI Engineer
Ecolab
AI Engineer
Ecolab
Provides water, hygiene, infection prevention solutions
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
Ecolab provides water, hygiene and infection prevention solutions and services to about three million commercial locations in more than 170 countries. It combines cleaning, sanitizing, disinfection, and water-treatment products with on-site service and data-driven insights to help customers improve safety, cleanliness, and efficiency. Its global scale and breadth across food, healthcare, hospitality and industrial markets, plus a large field service network, differentiate it as an integrated partner rather than a one-off supplier. Its goal is to help customers run safer, cleaner operations while using water and energy more efficiently and reducing environmental impact.
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