AI Engineer

Ecolab Quimica Ltda.; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Ecolab Quimica Ltda. in Bengaluru is seeking an AI Engineer to design, implement, and deploy intelligent systems built on LLMs, embeddings, and retrieval techniques. You will craft scalable workflows and deliver cloud-native solutions.

You will work with Python, Databricks, Snowflake, and Azure, building agentic workflows, monitoring production, and optimizing performance and cost.

Qualifications

• 2–4 years of AI/ML application development experience.
• Strong Python with LLM API integration and prompts.
• Hands-on Databricks (Spark SQL, PySpark) and Snowflake experience.
• Familiarity with embeddings, vector databases and agentic tools.
• Experience with Azure cloud, CI/CD and API integration patterns.

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.
• Deploy AI components into cloud platforms using containerized CI/CD.
• Monitor model behavior in production and optimize performance and cost.

Skills

Python programming

LLM API integration

Databricks

Snowflake

Azure cloud

CI/CD

Embeddings

Agent orchestration

Tools

Databricks

Snowflake

Vector stores

API integration patterns

Job description

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