Python Developer

AI Python lead (hands on developer)

Charlotte, NC

Fulltime/ w2 role

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.

• 10+ 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, GCP) 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.