16 Aug
|
Ecolab
|
Bengaluru
ROLE SUMMARY
As a Lead AI Engineer, you will own the architecture and delivery of GenAI-based systems that integrate large language models (LLMs), multi-agent workflows, and embedding-powered retrieval solutions. You will 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 responsibilities.
KEY RESPONSIBILITIES
- 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
- Guide engineering pods on GenAI design principles, system reliability, and prompt lifecycle management
- Build and maintain reusability assets — SDKs, templates, shared agent logic — to accelerate delivery velocity across teams
- Stay up to date with advancements in LLM tooling, orchestration abstractions, and prompt optimization techniques
Required Qualifications
- 6 to 8+ years of experience in software, AI, or ML engineering roles, including significant experience designing, delivering, and operating production-grade GenAI or agentic AI applications
- Proven experience leading the technical delivery of LLM-powered products or agent-based solutions, including solution design, engineering guidance, and operational readiness
- Strong technical foundation in Python and up-to-date backend engineering patterns, with practical experience building AI-enabled application services and APIs
- Hands-on experience with Azure OpenAI,
📌 Lead AI Engineer (Bengaluru)
🏢 Ecolab
📍 Bengaluru