Role Overview
Ecolab is seeking a talented and solution-oriented AI Engineer to join our Information Technology team in Bangalore, Karnataka, India. In this full-time role, you will design, engineer, and deploy intelligent enterprise systems powered by Large Language Models (LLMs), agent orchestration frameworks, and embedding-driven retrieval solutions. Blending hands-on coding with cloud-native system design, you will build scalable workflows across Azure, Databricks, and Snowflake, delivering cutting-edge AI capabilities to support summarization, conversational Q&A, and automated enterprise decision support.
Core Responsibilities
- LLM Application Development: Build and optimize production applications utilizing foundation model APIs for document summarization, semantic Q&A, and automated decision-making.
- Agentic Workflow Automation: Design and implement multi-step agentic workflows and tool-calling systems to automate complex business processes.
- RAG & Embedding Pipelines: Construct robust embedding pipelines integrated with vector databases to enable efficient Retrieval-Augmented Generation (RAG) and semantic search.
- Cloud-Native Deployment: Deploy and maintain containerized AI components across Microsoft Azure using modern CI/CD automation pipelines and secure API architectures.
- Production Optimization: Monitor model performance, track inference drift, and optimize prompts and infrastructure for minimal latency and cost efficiency.
- Data Integration: Leverage distributed big data platforms to query, prepare, and stream large datasets supporting generative AI solutions.
Qualifications & Experience
- Professional Experience: 2 to 4 years of hands-on experience in AI/ML application engineering and software development.
- Programming Proficiency: Strong programming capabilities in Python, with proven experience integrating LLM APIs and building structured prompt workflows.
- Data Platform Expertise: Hands-on technical experience with Databricks (PySpark, Spark SQL, Delta Lake) and Snowflake for scalable data engineering.
- Generative AI & Agents: Practical familiarity with agent orchestration frameworks, vector stores, semantic search, and agentic tool utilization.
- Cloud & DevOps: Demonstrated experience with cloud-native architecture on Microsoft Azure, containerization technologies, CI/CD practices, and API integration patterns.
About Ecolab
Ecolab is a global sustainability leader providing water, hygiene, and infection prevention solutions and services that protect people and the vital resources essential to life. Operating in more than 170 countries, Ecolab delivers comprehensive science-based innovations, data-driven insights, and world-class service to advance food safety, maintain clean environments, and optimize water and energy use worldwide.