Role Overview
Ecolab Digital is looking for an experienced Senior AI Engineer in Bangalore to design, implement, and maintain enterprise-grade generative AI and autonomous agent systems. In this hands-on engineering role, you will take ownership of the full development lifecycle—spanning distributed data pipelines, vector retrieval indexing, model inference, service deployment, and continuous operational evaluation—to deliver scalable, reliable customer intelligence products across the Institutional & Specialty business segment.
Core Responsibilities
- Autonomous Agent & Workflow Orchestration: Construct multi-agent architectures and complex task pipelines using scheduled or DAG-based engines, combining probabilistic reasoning with deterministic business rules.
- RAG & Vector Index Engineering: Design enterprise retrieval-augmented generation pipelines, implementing advanced document chunking, embeddings, hybrid search, reranking, and retrieval accuracy validation.
- Production Delivery & API Exposure: Deploy LLM capabilities as secure, low-latency microservices with robust authentication, versioning, traffic routing, and caching mechanisms.
- Evaluation & Operational Governance: Establish evaluation benchmarks, automated regression gates, LLM-as-a-judge frameworks, drift detection, and telemetry to manage accuracy, inference costs, and response latencies.
- AI Defense & Security: Implement protective measures against prompt injection, unauthorized data access, and unsafe tool execution, alongside standard audit logging and privacy controls.
- Cross-Functional Partnership: Collaborate with product managers, data scientists, and infrastructure engineers to build resilient software aligned with business requirements.
Qualifications & Experience
- Educational Background: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or an equivalent technical field with 5+ years of experience, or a Master's degree with 3+ years of experience.
- Programming & Data Manipulation: 4+ years of professional Python programming along with solid relational SQL and distributed data processing using PySpark.
- Machine Learning & Statistics: 3+ years of practical model development, hyperparameter tuning, and statistical evaluation.
- Generative AI & LLM Systems: 2+ years deploying production LLM services using frameworks such as LangChain, vector datastores, and major commercial or open-source foundation model APIs.
- Agentic Workflows: At least 1 year developing multi-step agent systems with external tool-calling, sequential handoffs, and workflow orchestration.
- DevOps & System Reliability: Strong proficiency with Git, containerization (Docker), automated CI/CD pipelines, and application observability.
- Advantageous Skills: Experience with the Databricks suite (Model Serving, Unity Catalog, Vector Search, MLflow), Model Context Protocol (MCP), agent memory management, Azure cloud services, or model distillation techniques.
About Ecolab
Ecolab is a global sustainability leader providing water, hygiene, and infection prevention solutions and services that protect people and the vital resources needed for life. With operations around the world, Ecolab develops cutting-edge science and digital innovations to ensure clean water, safe food, and healthy environments across diverse industries.