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Charlotte, NC
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Job Title : Python Developer with AI

Job Location: Charlotte, NC. (hybrid)

About The Role

We are seeking an experienced Python Lead with strong expertise in Generative AI to spearhead the design, development, and deployment of AI-powered solutions. This leadership role involves guiding a team of developers, collaborating with data scientists, and driving innovation by integrating cutting-edge AI models into enterprise applications.

Key Responsibilities

  • Lead a team of Python developers in building scalable AI-driven applications.
  • Architect and implement solutions using Generative AI models (LLMs, diffusion models, transformers).
  • Collaborate with data scientists and ML engineers to fine-tune and deploy models in production.
  • Design APIs and microservices to enable AI-powered features such as text generation, summarization, and multimodal applications.
  • Ensure best practices in coding, testing, and deployment across the team.
  • Mentor junior developers and foster a culture of innovation and continuous learning.
  • Optimize AI applications for performance, scalability, and ethical use.
  • Stay ahead of industry trends in Generative AI and recommend adoption strategies.

Required Skills & Qualifications

  • Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in Python development, with at least 2 years in a leadership role.
  • Strong understanding of Generative AI concepts (LLMs, embeddings, transformers).
  • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face).
  • Proven track record of deploying AI models into production environments.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
  • Knowledge of databases (MongoDB, PostgreSQL, MySQL).
  • Excellent leadership, communication, and problem-solving skills.

Preferred Skills

  • Experience with prompt engineering and fine-tuning large language models.
  • Knowledge of MLOps practices (CI/CD for ML, model monitoring).
  • Exposure to NLP, computer vision, or multimodal AI applications.
  • Understanding of Agile/Scrum methodologies.
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