Senior AI Engineer
- Posted a month ago
- Be among the first 10 applicants
Job Description
Job Characteristics: Lead the development of scalable GenAI-powered systems, designing intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks. Drive solution architecture, mentor junior engineers, and deliver production-ready applications that integrate deeply with business processes and platforms.
Education/Work Experience: Degree and 5-8 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 5-8 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
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Industry:
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Key Skills
large language models (LLMs)
multi-agent orchestration frameworks
vector-based retrieval
About Company
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:
large language models (LLMs), multi-agent workflows, embedding-powered retrieval solutions, GenAI-based systems
Skills:
large language models (LLMs), Python, Sklearn, FastAPI, LangChain, CrewAI, Hugging Face Transformers, generative AI solutions, Plotly, Vapi, TRL, Salesforce AgentForce, Google Agent SDK, OpenAI Agent SDK, Microsoft Copilot, Dialogflow
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