Gen AI EngineerThe GenAI / Applied LLM Engineer will design, develop, and deploy AI driven solutions that enhance Fluors engineering, project management, and enterprise operations. This role focuses on building secure, scalable GenAI applications using modern LLM frameworks, Azure AI Foundry, enterprise data sources, retrieval augmented generation
(RAG), and agentic automation patterns. The engineer will collaborate closely with digital engineering, data platform, software development, and business stakeholders to deliver production grade AI capabilities aligned with EPC project workflows.
Experience
Required Qualifications
5+ years of professional experience in software engineering or applied AI roles.
Strong expertise in Python (core libraries, FastAPI, vector databases, dataprocessing).
Experience with Azure Cognitive Search, semantic search, and index enrichment pipelines.
Knowledge of Responsible AI practices, model governance, and prompt safety evaluation.
Experience with agent frameworks (Semantic Kernel, AutoGen, CrewAI).
Familiarity with enterprise observability stacks (App Insights, Prometheus,OpenTelemetry) for LLM performance monitoring.
Proficiency in C#/.NET and building enterprise-grade backend services.
Hands-on experience with LLMs, prompt engineering, and GenAI solution development.
Experience working with enterprise knowledge indexing, metadata extraction and content enrichment.
Experience with AI Foundry / Azure AI Studio, Azure OpenAI, and cloud-native AI pipelines.

Keyskills: Gen AI LLM Machine lea Python
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