Senior Agentic AI Engineer

Creative Solutions Services, LLC; Houston (TX); Hybrid; USD 170,062,000 - 220,722,000; Full time

Benefits offered by this job

Medical, Vision, and Dental Insurance

401k Retirement Fund

Job summary

Creative Solutions Services, LLC in Houston, TX is seeking a Senior Agentic AI Engineer to design, develop, and deploy production-grade Agentic AI solutions on Azure for enterprise use. You will build LLM-powered apps, multi-agent workflows, and RAG pipelines.

Collaborate with architects, software and data engineers, and business stakeholders to translate requirements into scalable AI-powered software while ensuring security, reliability, and observability.

Qualifications

• Bachelor's degree or international equivalent required.
• 8 years of software engineering experience.
• 2–3 years in Generative AI, LLM apps, or Agentic AI.
• Front-end in React + TypeScript; back-end in Node.js.

Responsibilities

• Build LLM-powered applications for text generation, summarization, Q&A, and enterprise search.
• Develop RAG pipelines with embeddings, Azure AI Search, and grounding.
• Integrate AI agents with enterprise tools via REST APIs and databases.
• Create front-end experiences with React/TypeScript and back-end services.
• Design agentic workflows and human-in-the-loop controls.
• Ensure observability and production readiness with CI/CD and monitoring.

Skills

Analytical

Problem-solving

Collaboration

Communication

Education

Bachelor's degree

Tools

Azure OpenAI

Azure AI Foundry

Azure AI Search

React

TypeScript

Node.js

Job description

Senior Agentic AI Engineer

Location: Houston, TX

Onsite Flexibility: Hybrid — 3 days onsite per week

Contract Details

• 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.

Job Summary

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.

Key Responsibilities

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 Node.js 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.

Required Experience

• Requires a bachelor's degree (or international equivalent) and 8 years of relevant software engineering experience.
• 2–3 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 Node.js 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.

Education Requirements

• Bachelor's degree (or international equivalent) required.

Benefits

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

About the Client

This privately held engineering, procurement, and construction organization has delivered more than 25,000 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 world's largest public agencies. With a Glassdoor rating of 4.0 stars from nearly 2,500 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.

About GTT

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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