Senior AI Engineer
At a glance
Senior AI Engineering role at Ecolab. Bangalore · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM-powered applications for summarizing information, answering questions and supporting decisions
- Create agent workflows that automate tasks requiring multiple steps
- Set up embedding pipelines with vector stores to support RAG and improve search
- Ship AI components to cloud platforms through container-based CI/CD
- Track production model behavior and tune performance and operating costs
What you bring
- At least five years developing AI/ML applications
- Strong Python skills, including connecting to LLM APIs and building prompt workflows
- Practical experience with Databricks and Snowflake
- Experience delivering cloud-native systems on Azure, with CI/CD and API integration patterns
Who this fits
This senior hands-on engineering role suits someone who can build LLM applications and agent workflows, then deploy and tune them in production. The role is based in Bangalore, India.
From the employer
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