GenAI Applied LLM Engineer
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Job Location:
Monthly Salary:
Posted on:
6 days ago
Vacancies:
1 Vacancy
Job Summary
Role Overview
The 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.
The 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
Minimum 5 years of experience in software development or AI engineering.
At least 3 years hands-on with LLMs GenAI systems or modern AI frameworks.
Minimum 5 years of experience in software development or AI engineering.
At least 3 years hands-on with LLMs GenAI systems or modern AI frameworks.
Key Responsibilities
Develop test and deploy GenAI applications leveraging LLMs RAG pipelines
and prompt engineering to solve business challenges across Fluors EPC value
chain.
Build scalable backend services and APIs in Python and C# supporting AI
workloads.
Implement enterprise grade AI solutions using Azure AI Foundry Azure
OpenAI Vector Search and secure data integrations.
Design and optimize data ingestion transformation and retrieval layers using
SQL Server Cosmos DB and Azure data services.
Develop UI components and frontend features using Angular for internal AI tools
and applications.
Develop test and deploy GenAI applications leveraging LLMs RAG pipelines
and prompt engineering to solve business challenges across Fluors EPC value
chain.
Build scalable backend services and APIs in Python and C# supporting AI
workloads.
Implement enterprise grade AI solutions using Azure AI Foundry Azure
OpenAI Vector Search and secure data integrations.
Design and optimize data ingestion transformation and retrieval layers using
SQL Server Cosmos DB and Azure data services.
Develop UI components and frontend features using Angular for internal AI tools
and applications.
Configure and finetune opensource LLMs (where permitted) or apply parameter
efficient tuning techniques for enterprise tasks.
Integrate AI models into existing digital products workflows and engineering
automation systems.
Collaborate with data engineers architects fullstack developers and domain
SMEs to translate business needs into AI technical specifications.
Apply MLOps and AI lifecycle best practices for deployment monitoring
versioning performance optimization and responsible AI compliance.
Ensure all solutions follow Fluors standards for cybersecurity quality data
privacy and scalable architecture.
Provide documentation training and support to help teams adopt AI capabilities.
efficient tuning techniques for enterprise tasks.
Integrate AI models into existing digital products workflows and engineering
automation systems.
Collaborate with data engineers architects fullstack developers and domain
SMEs to translate business needs into AI technical specifications.
Apply MLOps and AI lifecycle best practices for deployment monitoring
versioning performance optimization and responsible AI compliance.
Ensure all solutions follow Fluors standards for cybersecurity quality data
privacy and scalable architecture.
Provide documentation training and support to help teams adopt AI capabilities.
Required Qualifications
5 years of professional experience in software engineering or applied AI roles.
Strong expertise in Python (core libraries FastAPI vector databases data
processing).
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.
5 years of professional experience in software engineering or applied AI roles.
Strong expertise in Python (core libraries FastAPI vector databases data
processing).
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.
Solid understanding of SQL Server Cosmos DB and distributed data storage
concepts.
Strong front-end development experience with Angular.
Ability to design secure scalable production-ready AI systems.
concepts.
Strong front-end development experience with Angular.
Ability to design secure scalable production-ready AI systems.
Preferred Qualifications
Experience with RAG embeddings vector search LangChain/LlamaIndex or
similar frameworks.
Knowledge of Azure Data Factory Azure Functions Event Hub or broader cloud
ecosystem.
Familiarity with DevOps/MLOps (GitHub Actions Azure DevOps model registry
CI/CD).
Experience working in an EPC industrial or engineering-heavy enterprise
environment.
Exposure to agentic systems and multi-model orchestration.
Experience with RAG embeddings vector search LangChain/LlamaIndex or
similar frameworks.
Knowledge of Azure Data Factory Azure Functions Event Hub or broader cloud
ecosystem.
Familiarity with DevOps/MLOps (GitHub Actions Azure DevOps model registry
CI/CD).
Experience working in an EPC industrial or engineering-heavy enterprise
environment.
Exposure to agentic systems and multi-model orchestration.
Skills & Competencies
Strong analytical and problem-solving skills with ability to understand
engineering/business workflows.
Ability to translate ambiguous business problems into structured AI solutions.
Clear communication skills and ability to collaborate in cross-functional teams.
Focus on quality security and maintainability.
Continuous learner with passion for emerging AI technologies.
Strong analytical and problem-solving skills with ability to understand
engineering/business workflows.
Ability to translate ambiguous business problems into structured AI solutions.
Clear communication skills and ability to collaborate in cross-functional teams.
Focus on quality security and maintainability.
Continuous learner with passion for emerging AI technologies.
Education & Certifications
Bachelors or Masters degree in Computer Science Information Technology
Data Science or related engineering discipline.
Azure certifications (AI Engineer Associate Developer Associate) preferred.
Bachelors or Masters degree in Computer Science Information Technology
Data Science or related engineering discipline.
Azure certifications (AI Engineer Associate Developer Associate) preferred.
Tools & Systems
Python C# .NET Core
Angular
SQL Server Cosmos DB
Azure AI Foundry Azure OpenAI Vector Search
Git / GitHub / Azure DevOps
LangChain LlamaIndex (preferred)
Python C# .NET Core
Angular
SQL Server Cosmos DB
Azure AI Foundry Azure OpenAI Vector Search
Git / GitHub / Azure DevOps
LangChain LlamaIndex (preferred)
