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Fullstack AI Engineer

ARSquare Tech LLCDallas, TX🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This role offers a unique opportunity to shape the future of Generative AI within a forward-thinking company, leading the architecture and delivery of cutting-edge AI solutions. You'll thrive here if you're a mid-senior engineer eager to dive into complex agentic systems and drive innovation, with the flexibility of a hybrid work environment. Apply now to be at the forefront of AI advancements and contribute to impactful projects.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
6 days ago
LLM

Job Description

Fullstack AI Engineer ( Generative AI / Agentic Systems)
We are partnering with an innovative technology organization at the forefront of the Generative AI revolution within a complex, data-rich industry. Their growing AI team is focused on building next-generation AI  applications and enhancing existing platforms with advanced LLM and agentic capabilities.
They are seeking a Fullstack AI Engineer to drive the strategy, architecture, and delivery of cutting-edge AI solutions across the enterprise.
AI Architecture & Strategy
  • Own end-to-end design of AI platforms and applications
  • Define model strategy (OpenAI, Google, small vs. large models)
  • Design scalable systems leveraging:
    • RAG (Retrieval-Augmented Generation)
    • Multi-agent frameworks & workflow orchestration
    • Knowledge graphs, hybrid search, and semantic caching
  • Evaluate and implement emerging AI technologies (LLMs, multimodal models, real-time systems)
Platform Development
  • Build reusable AI services, SDKs, and frameworks
  • Establish best practices for:
    • Prompt engineering & versioning
    • Model evaluation and observability
    • Logging, monitoring, and incident response
  • Develop modular, scalable backend systems for agentic workflows
Leadership & Execution
  • Lead and mentor AI/ML engineers and data scientists
  • Drive design reviews, architecture decisions, and coding standards
  • Partner with product and business leaders to identify high-impact AI use cases
  • Own delivery of complex AI initiatives from concept through production

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