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AI Lead Developer

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-11-25
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Role Overview

We are seeking a highly skilled and experienced Lead Developer in Artificial Intelligence (AI) to join our dynamic team. The ideal candidate will have a strong background in AI technologies, machine learning, and software development. As a Lead Developer, you will be responsible for leading AI projects, mentoring junior developers, and collaborating with cross-functional teams to deliver innovative AI solutions.

Responsibilities
  • Lead the design, development, and implementation of AI solutions and applications.
  • Collaborate with data scientists, engineers, and other stakeholders to define project requirements and deliverables.
  • Develop and optimize machine learning models and algorithms.
  • Ensure the scalability, performance, and reliability of AI systems.
  • Stay updated with the latest advancements in AI and machine learning technologies, Deep Learning, NLP, GenAI; agentic experience is a big plus.
  • Conduct code reviews and ensure adherence to best practices and coding standards.
  • Troubleshoot and resolve technical issues related to AI projects.
  • Communicate project status, risks, and challenges to stakeholders.
  • Mentor and guide junior developers, providing technical expertise and support.
Qualifications
  • Bachelor's or master's degree in computer science, engineering, or a related field with hands-on project experience of 10–12 years.
  • Proven experience as a Lead Developer or similar role in AI and machine learning.
  • Strong programming skills in languages such as Python, Java, or C++.
  • Experience with AI frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
  • Solid understanding of machine learning algorithms and techniques. Knowledge of neural networks, NLP, GenAI concepts such as RAG & Lang chain, multiagent systems is an advantage.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
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