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
Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.

Work arrangement
No