Senior Generative AI Application Engineer, Learning & Development
f7d8749a-72d6-407c-bf98-292ea630c73a · San Diego, USFull-time · Senior
Lead AI Engineer
Ecolab Inc. · Bangalore, IndiaHybrid · Full-time · Senior
AI Engineer
Ecolab Inc. · Bangalore, IndiaOn-site · Full-time · Mid
Lead AI Engineer
Ecolab Inc. · Bangalore, IndiaHybrid
Lead AI Engineer
Ecolab Inc. · Bangalore, IndiaHybrid
AI Engineer
Ecolab · Bangalore, India
AI Engineer
Ecolab · Bangalore, India
AI Engineer
Ecolab · Bangalore, India
AI Engineer
Ecolab · Bangalore, India
Lead AI Engineer
Ecolab · Bangalore, IndiaHybrid · Full-time · Senior
+10K new in the last hour
f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 14, 2026
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Senior AI Engineer, Hivemind Learning & Development is a hands‑on individual contributor who will build the AI‑powered products, content systems, and measurement capabilities that help engineers learn Hivemind faster and apply it successfully.
Pay within range listed + Bonus + Benefits + Equity
Develop an AI‑powered training coach that helps people learn Hivemind concepts, products, and development workflows. Create highly technical Hivemind training materials and hands‑on workshops for engineers and other technical learners. Build prompt‑based tooling that generates workshops and supporting learning content from defined objectives, audiences, and source materials. Create LLM‑based tooling that automates the ongoing upgrade and improvement of Hivemind training and educational materials. Build AI tools and systems that enable, streamline, and automate Hivemind Learning & Development workflows. Bachelor's degree in Computer Science Bachelor's degree in Engineering Bachelor's degree in Robotics Bachelor's degree in Data Science Bachelor's degree in Learning Technology Ecolab Inc. · Posted Nov 6, 2026
Lead AI Engineer
Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation Optimize performance, latency, and accuracy through experimentation with prompt strategies, retrieval layers, and caching logic Lead solution reviews, enforce prompt safety and governance, and ensure alignment with security protocols Collaborate with platform, product, and engineering leads to define reusable patterns and scalable AI capabilities Ecolab Inc. · Posted Nov 6, 2026
Design, implement, and deploy AI systems using LLMs, agent orchestration, and embedding-based retrieval.
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 Ecolab Inc. · Posted Nov 6, 2026
Lead AI Engineer
Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation Optimize performance, latency, and accuracy through experimentation with prompt strategies, retrieval layers, and caching logic Lead solution reviews, enforce prompt safety and governance, and ensure alignment with security protocols Collaborate with platform, product, and engineering leads to define reusable patterns and scalable AI capabilities Nice to have: Microsoft AI Foundry Nice to have: Azure Machine Learning Nice to have: Azure AI / Copilot Studio Nice to have: enterprise integration Nice to have: AI governance Ecolab Inc. · Posted Nov 6, 2026
Lead AI Engineer
Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation Optimize performance, latency, and accuracy through experimentation with prompt strategies, retrieval layers, and caching logic Lead solution reviews, enforce prompt safety and governance, and ensure alignment with security protocols Collaborate with platform, product, and engineering leads to define reusable patterns and scalable AI capabilities Nice to have: Microsoft AI Foundry Nice to have: Azure Machine Learning Nice to have: Azure AI / Copilot Studio Nice to have: enterprise integration Nice to have: AI governance Ecolab · Posted Nov 6, 2026
AI Engineer
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 Ecolab · Posted Nov 6, 2026
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 Ecolab · Posted Nov 6, 2026
Design, implement, and deploy intelligent systems powered by LLMs, agent orchestration frameworks, and embedding-based retrieval solutions.
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 Ecolab · Posted Nov 6, 2026
AI Engineer
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 Ecolab · Posted Nov 6, 2026
Lead AI Engineer
Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation Optimize performance, latency, and accuracy through experimentation with prompt strategies, retrieval layers, and caching logic Lead solution reviews, enforce prompt safety and governance, and ensure alignment with security protocols Collaborate with platform, product, and engineering leads to define reusable patterns and scalable AI capabilities Nice to have: Microsoft AI Foundry Nice to have: Azure Machine Learning Nice to have: Azure AI / Copilot Studio Nice to have: enterprise integration Nice to have: AI governance
Lead AI EngineerEcolab Inc. · Bangalore, India