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Senior AI Engineer

Ecolab · Water Utilities · Chemical Manufacturing · Python · SQL · 2 months ago
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Salary
≈ $26k – $53k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Visa
Sponsors visas in United States, Ireland, United Kingdom; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Sep 24, 2026. Ecolab scores B on the Alion truth index.

Overview
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Ecolab

Ecolab is a water, hygiene and infection prevention company headquartered in Saint Paul, Minnesota, supplying cleaning and sanitation chemicals, water treatment programs, food safety services and pest elimination to restaurants, hotels, hospitals, food and beverage plants and heavy industry. Founded in 1923, it is a Fortune 500 company that serves customers at more than 100,000 sites worldwide and owns Nalco Water, its industrial water treatment business. Openings cover sales and territory managers, field service representatives, food safety specialists, lab and manufacturing staff, logistics associates, finance analysts and data and AI engineers.
ecolab.com · HQ: Saint Paul, United States · Food Safety · Cleaning & Household Products · Sterilization & Infection Control · Chemical Manufacturing · 5000+ employees · Est. 1923
Tech stack of Ecolab

Sr.AI Engineer

As an Sr.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

  • 5 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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