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Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.

The Applied AI Engineer will design, develop, and deploy LLM-powered applications, manage full product lifecycles, and ensure system reliability while utilizing AI-first workflows and collaborating with diverse teams.

This role involves developing and optimizing LLM applications, architecting workflows, and integrating AI functionalities. Strong experience in AI/ML and collaboration is required.

The AI Engineer will design and deploy LLM applications, optimize workflows, manage RAG systems, and perform full-stack development involving Python and Java.

The role involves building and scaling LLM-powered applications, managing the full product lifecycle, ensuring system reliability, and collaborating across teams to deliver impactful AI-driven features.

Customer-facing technical role deploying AI-enabled solutions into enterprise environments: prototype, integrate, configure, and deliver AI-native workflows, ETL pipelines, dashboards, and tooling to improve ESG reporting, automation, and operational efficiency.

The AI Engineer will design and develop applications using LLMs, implement multi-agent workflows, optimize RAG pipelines, and contribute to full-stack development, collaborating with teams across regions.

The role involves building AI-powered products, designing reliable LLM-powered systems, and ensuring performance and quality. You'll collaborate in fast-paced environments and own the full product lifecycle.