How much salary can I expect as a Artificial Intelligence Engineer in Ecolab Food Safety & Hygiene Solutions Private Limited in Bengaluru/Bangalore?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

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The candidate should have completed the required education and people who have 3 to 31 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

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Artificial Intelligence Engineer

Ecolab Food Safety & Hygiene Solutions Private Limited

Artificial Intelligence Engineer

Ecolab Food Safety & Hygiene Solutions Private Limited

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 3 years

Job Description

AI Engineer

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

• 3 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