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Full Stack AI Developer Vice President

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Information Technology Senior Management Forum
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125760 - 188640 USD Yearly USD 125760.00 188640.00 YEAR
Job Description & How to Apply Below

The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting-edge AI solutions that will shape the future of our industry. We are seeking a hands-on individual with a passion for rapid prototyping, a deep curiosity for emerging technologies, and the drive to turn ambitious ideas into reality.

If you are eager to build, learn, and grow in the fast-paced world of Generative and Agentic AI, this role is for you.

Key Responsibilities
  • Develop & Prototype: Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
  • Implement AI Models: Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems.
  • Build Robust Systems: Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality.
  • Manage Data Pipelines: Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference.
  • Deploy & Operate: Utilize MLOps best practices to deploy AI applications in containerized environments like Open Shift, ensuring robust monitoring, scalability, and reliability.
  • Innovate & Research: Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof-of-concept projects to integrate new technologies into our stack.
  • Collaborate: Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.
Required

Skills and Qualifications
  • Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., Num Py, Pandas, Scikit-learn).
  • ML/DL Foundation: Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
  • Generative AI

    Experience:

    Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
  • Data Expertise: Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
  • MLOps Awareness: Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like Open Shift or Kubernetes.
  • Problem‑Solving: Strong analytical and problem-solving skills with the ability to tackle complex challenges independently.
Core Technical Stack & Expertise

The ideal candidate will have hands‑on experience or deep familiarity with the following technologies:

  • LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
  • Frameworks: Lang Chain, Llama Index, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
  • Orchestration: Lang Graph and conceptual understanding of building Multi‑Agent Systems.
  • Development: Building production-ready services using Python, FastAPI, and asynchronous programming patterns.
  • RAG (Retrieval‑Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
  • ML/DL Platforms: PyTorch and/or Tensor Flow for building and fine-tuning models.
  • Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
  • Applied AI

    Skills:

    Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
The Ideal Candidate
  • You are a builder at heart
    , driven by a desire to create and experiment.
  • You thrive in a fast‑paced environment and excel at turning ideas into functional prototypes quickly
    .
  • You are a voracious learner
    , constantly keeping up-to-date with the latest research papers, open-source projects, and technology trends in AI.
  • You are a proactive and…
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