Senior AI Engineer
- Posted 2 days ago
- Be among the first 10 applicants
Job Description
Job Characteristics: Own the architecture and delivery of GenAI-based systems that integrate large language models (LLMs), multi-agent workflows, and embedding-powered retrieval solutions. Guide cross-functional pods, define engineering standards, and drive innovation through scalable, production-grade intelligent applications. You will lead a team of associates both functionally and admin responsibilites.
Education/Work Experience: Degree and 8-10 years experience.
Independence Level/Reports to: Normally reports to AI Engineering Manager.
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.
Education/Work Experience: Degree and 8-10 years experience.
Independence Level/Reports to: Normally reports to AI Engineering Manager.
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.
More Info
Key Skills
multi-agent workflows
embedding-powered retrieval solutions
large language models (LLMs)
GenAI-based systems
About Company
Skills:
large language models (LLMs), solution architecture, multi-agent orchestration frameworks, vector-based retrieval
Skills:
Performance Monitoring, Python, prompt frameworks, LLMs, RAG vector databases, data ML libraries, data platforms, MLOps pipelines, Agentic AI systems, multi-agent workflows, enterprise APIs, retrieval strategies, operational systems, tool orchestration, evaluation pipelines, observability feedback loops
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Apis, Google Cloud, Git, Typescript, Docker, Azure, Python, Kubernetes, AWS, LangChain, CrewAI, AI orchestration frameworks, Prompt engineering, Vector databases, Memory architectures, LangGraph, AutoGen, CI/CD pipelines, Embedding models, Multi-agent systems
Skills:
.NET, Model Context Protocol (MCP), Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Machine Learning, Amazon S3, ELT, Python, AWS, Java, Artificial Intelligence, Sql, Spark, Databricks, Rest Apis, Etl, Apache Iceberg, Airflow, Pinecone, Vector Search, Chroma, semantic search, Generative AI, Agentic AI, dbt, Delta Lake, Milvus