AI Engineer

Role Overview

As an AI Engineer at Ecolab Bengaluru, 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 tailored to our global operations.
• Implement agentic workflows for multi-step task automation within the Ecolab ecosystem.
• Develop embedding pipelines integrated with vector stores for RAG and search optimization in production environments.
• Deploy AI components into cloud platforms using containerized CI/CD practices aligned with industry best standards.
• Monitor model behaviors in production and optimize for performance, cost-efficiency, and reliability across diverse datasets.
  

Required Skills

• 2–4 years of experience in AI/ML application development within a dynamic corporate environment.
• Strong programming skills in Python with LLM API integration and prompt workflows specific to enterprise needs.
• Hands-on experience with Databricks (Spark SQL, PySpark, Delta Lake) and Snowflake for large-scale data processing.
• Familiarity with agent orchestration frameworks, embeddings, vector databases, and agentic tools commonly used in modern AI stacks.
• Experience with cloud-native delivery on Azure, CI/CD pipelines, and robust API integration patterns.