Senior AI Engineer
- Posted a month ago
- Be among the first 10 applicants
Job Description
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
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.
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
- 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
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.
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Key Skills
About Company
Skills:
Tensorflow, Numpy, Pytorch, Docker, Dicom, Python, AWS, Pytest, Gcp, Opencv, Keras, FastAPI, Azure, Kubernetes, scikit-learn, Segmentation, TensorRT, MLflow, CI CD, CNNs, ONNX, Classical ML, Vision Transformers, nnU-Net, Weights Biases, Calibration, NIfTI, Clinical Metrics, MONAI, Detection
Skills:
Sqlalchemy, API security, PostgreSQL, Rabbitmq, Sqlite, Flask, FastAPI, Python, LangChain, Django ORM, AI ML development, document extraction, langFuse, large-scale RAG systems, Cloud Data Warehouses, OCR pipelines, LangGraph, RAG methodologies, langSmith, Java Spring Boot, fine-tuning LLMs
Skills:
Generative AI and Large Language Models (LLMs), Microsoft Azure, FastAPI, Python, Azure OpenAI AI services, RAG embeddings vector semantic search and prompt engineering, Authentication and API security concepts, REST API design and integration, Docker and containerised application deployment, Git and version control, SQL and relational databases, Application debugging logging and troubleshooting
Skills:
Api Development, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, LangChain, Airflow, Prompt engineering, Model deployment, Scikit-learn, Hugging Face, MLflow, Kubeflow, MLOps tools, LLM frameworks, Data workflows, LlamaIndex, ETL pipelines
Skills:
Machine Learning, Git, Docker, Pyspark, Python, Sql, DataFrame APIs