Senior Agentic AI Engineer

Location: Houston TX

Onsite Flexibility: Hybrid 3 days onsite per week

• Position Type: Contract
• Contract Duration: 12 months
• Pay Rate: $59.35$77.03 / Hour (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

We are seeking a highly skilled Senior Agentic AI Engineer to design develop and deploy modern Agentic AI solutions. This role focuses on building production-grade Generative AI applications multi-agent workflows and Retrieval-Augmented Generation (RAG) pipelines for enterprise use on Microsoft Azure. You will collaborate with architects software engineers data engineers and business stakeholders to translate requirements into AI-powered software solutions. The ideal candidate brings hands-on experience developing evaluating and operating Agentic AI solutions supported by strong front-end and back-end engineering fundamentals.

Build Generative AI & Retrieval-Augmented Generation LLM Applications

• Build LLM-powered applications for text generation summarization Q&A conversational AI enterprise knowledge search and multi-agent orchestration.
• Develop advanced RAG pipelines using embeddings Azure AI Search vector and hybrid retrieval document chunking metadata filtering reranking citations and grounding techniques with enterprise data.
• Build secure reliable integrations between AI agents and enterprise tools REST APIs relational databases and event-driven services.
• Develop and maintain user-facing AI application experiences using React and TypeScript and supporting application services using or comparable back-end technologies.

AI Agents & Agentic Automation

• Design and implement single-agent and multi-agent systems for intelligent automation decisioning and complex workflows.
• Build autonomous and human-in-the-loop agents that plan reason act and interact with tools APIs enterprise data and event-driven systems.
• Develop agentic workflows using Microsoft Agent Framework Azure AI Foundry services or comparable modern orchestration frameworks.
• Implement configuration-driven agent behavior prompt and tool management authorization boundaries and resilient error-handling patterns.
• Define and automate evaluation approaches for agent quality including groundedness relevance citation quality safety and regression testing.
• Instrument agent workflows for traces tool calls latency token usage errors and operational metrics using OpenTelemetry Application Insights or comparable observability platforms.
• Build highly scalable secure containerized solutions with CI/CD health checks horizontal scaling and production monitoring.

• Requires a bachelors degree (or international equivalent) and 8 years of relevant software engineering experience.
• 23 years of hands-on Generative AI LLM application or Agentic AI solution development experience.
• Strong software engineering background with experience designing and deploying production-grade cloud applications.
• Experience building front-end applications with React and TypeScript and back-end services with or comparable application frameworks.
• Hands-on experience building Generative AI and RAG applications with Azure AI Foundry Azure OpenAI Azure AI Search LLM APIs embeddings vector or hybrid search knowledge retrieval grounding and citations.
• Experience with Agentic AI frameworks such as Microsoft Agent Framework Semantic Kernel LangGraph AutoGen or comparable orchestration frameworks; including single-agent and multi-agent systems tool-calling workflows and human-in-the-loop controls.
• Experience evaluating and improving agent quality including prompt engineering test datasets LLM-based evaluation safety checks and production feedback loops.
• Strong knowledge of LLMOps CI/CD containerization (Docker and Kubernetes) observability and production operations for AI applications.
• Good understanding of RESTful API principles asynchronous application patterns secure integrations relational databases SQL and data-access patterns; familiarity with SQL/NoSQL data stores and data engineering or ETL pipelines.
• Experience working in an enterprise environment with large-scale secure AI deployments including identity authorization data privacy compliance and production monitoring.
• Strong analytical problem-solving collaboration and communication skills.

• Bachelors degree (or international equivalent) required.

• Medical Vision and Dental Insurance Plans
• 401k Retirement Fund

This privately held engineering procurement and construction organization has delivered more than 25000 complex infrastructure projects across 160 countries on all seven continents over more than 125 years of operation one of the broadest global footprints in its sector. Its project portfolio spans energy and industrial infrastructure nuclear and environmental remediation government services and mining and metals with clients ranging from national governments and global energy companies to the worlds largest public agencies. With a Glassdoor rating of 4.0 stars from nearly 2500 employee reviews and 78 percent of employees recommending the company to a friend the organization has earned genuine employee endorsement including a 4.0-star rating for career opportunities one of the highest in its sector. Teams here include civil and structural engineers project controls specialists procurement managers ERP developers SAP technical specialists and nuclear and environmental remediation professionals who operate at a scale of project complexity that is nearly impossible to find elsewhere.

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking financial services technology life sciences biotech utilities and retail sectors throughout the U.S. and Canada.

Job Number: 26-13528 Industry: Engineering

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