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Ecolab

AI Engineer

LocationIND - Karnataka - Bangalore - EDC
Typefull-time
SeniorityMid
Experience2–4 yrs
Company size10,000+ people
First seenOct 8, 2026 · 3d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have5
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
Skills
Python
Databricks
Spark SQL
PySpark
Delta Lake
Snowflake
Azure
LLM API
vector databases
CI/CD
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
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