Lead AI Engineer
Ecolab Inc.3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect and deliver enterprise-grade GenAI systems using LLM APIs, agent orchestration frameworks, embedding pipelines, and retrieval solutions.
- Design autonomous and multi-agent workflows with context management, task delegation, tool orchestration, and reusable patterns.
- Optimize prompt strategies, retrieval layers, caching, performance, latency, and accuracy through experimentation.
- Lead solution reviews, enforce prompt safety and governance, and align implementations with security protocols.
- Guide engineering pods and cross-functional teams on GenAI design, reliability, prompt lifecycle management, and production readiness.
- Build reusable SDKs, templates, shared agent logic, prompt libraries, and other accelerators for use across teams.
- Own the full software lifecycle, including design, implementation, deployment, support, reliability improvement, and maintainability.
- Raise engineering quality through code reviews, mentoring, technical guidance, and architecture reviews.
Requirements
- 6 to 8+ years of experience in software, AI, or ML engineering, including significant experience delivering and operating production-grade GenAI or agentic AI applications.
- Experience leading the technical delivery of LLM-powered products or agent-based solutions, including solution design, engineering guidance, and operational readiness.
- Strong Python and modern backend engineering experience building AI-enabled application services and APIs.
- Hands-on experience with Azure OpenAI, Azure AI Studio, Semantic Kernel, LangChain, AutoGen, or equivalent platforms and orchestration frameworks.
- Experience with LLM APIs, prompt workflows, tool calling, agent coordination, retrieval-augmented generation, and vector-based patterns.
- Experience deploying cloud-native AI services and using cloud, container, engineering, testing, deployment, and observability tooling.
- Understanding of CI/CD, containerization, automated testing, production deployment, reliability, latency, and cost monitoring for AI systems.
- Exposure to Model Context Protocol, agent-to-agent interaction patterns, or similar context-sharing and distributed-agent communication approaches.
- Ability to mentor engineers, provide technical direction, communicate complex decisions clearly, and collaborate across engineering, architecture, product, and platform teams.
- Preferred: experience with multi-step agentic workflows, Microsoft AI Foundry, Azure Machine Learning, Azure AI, Copilot Studio, enterprise integrations, AI developer platforms, governance, safety, evaluation, guardrails, and cost-management tooling.
- Preferred: experience operating in a build-own-operate product environment with strong reliability, supportability, and continuous-improvement expectations.
Benefits
- Bangalore-based hybrid work arrangement.
Categories
About Ecolab Inc.
Ecolab Inc. builds and sells water treatment chemicals and equipment, hygiene and infection-prevention products, and on-site service and digital monitoring for industrial and institutional customers. A NYSE-listed public company founded in 1923 and headquartered in St. Paul, Minnesota, it serves food, healthcare, life sciences, hospitality, manufacturing, and energy markets worldwide; its portfolio includes Nalco Water and, in data centers, CoolIT liquid-cooling solutions.