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Principal Agentic AI Engineer

QUANTUM TECHNOLOGIES LLCDallas, TX🇺🇸United StatesPosted Oct 1, 2026

Why This Role Stands Out

This Principal Agentic AI Engineer role offers a dynamic opportunity to lead cutting-edge AI development in a hybrid environment, building sophisticated agentic systems and LLM-powered applications. You'll thrive here if you're a seasoned AI professional eager to shape the future of autonomous workflows and leverage your expertise in frameworks like LangChain and OpenAI. Apply now to contribute to innovative projects with a competitive hourly rate!

Quick Overview

Salary
$83/hr
Seniority
Leader
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
17 hours ago
FastAPIMicroservicesAWSAzureLLMPythonREST

Job Description

Job Title: Principal Agentic AI Engineer

Location: Dallas, TX

Duration: 6 Months + Extension

Bill Rate: $83/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization:

  • USC
  • GC
  • H-1B
  • OPT-EAD
  • GC-EAD


Job Description

  • Design AI agents, multi-agent systems, autonomous workflows, and tool-using agents.
  • Build LLM-powered applications using OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or similar platforms.
  • Develop RAG pipelines with vector databases and enterprise knowledge sources.
  • Work with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar agent frameworks.
  • Implement agent memory, planning, reasoning, tool/function calling, and orchestration.
  • Develop AI services and APIs using Python, FastAPI, REST APIs, and microservices.
  • Integrate agents with enterprise systems, databases, APIs, and external tools using MCP (Model Context Protocol) where applicable.
  • Implement prompt engineering, evaluation, guardrails, security, and responsible AI practices.
  • Optimize LLM applications for accuracy, latency, scalability, reliability, and cost.
  • Lead technical architecture decisions and mentor AI/ML engineering teams.
  • Establish CI/CD, observability, monitoring, testing, and production deployment practices for AI systems.
  • Collaborate with product, data, cloud, security, and engineering teams to deliver production-ready AI solutions.


Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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