AI Lead (Generative AI)

Location: Irving, TX or Tampa, FL
Work Arrangement: Onsite
Job Type: Contract

We are seeking an experienced AI Lead Generative AI to join our team and contribute to the development, integration, and deployment of innovative Generative AI solutions.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), Multi-Agent systems, Python, AI workflow orchestration, and production AI deployments. This role requires someone who can collaborate effectively with Data Scientists and Engineers while contributing to reliable, scalable, and responsible AI applications.

• Contribute to prompt engineering and development of AI-powered workflows.

• Design and implement solutions leveraging LLMs and Generative AI.

• Assist with deployment, monitoring, maintenance, and optimization of AI models in production environments.

• Collaborate with Data Scientists, Software Engineers, and other technical teams to integrate AI capabilities into applications.

• Develop data preprocessing and feature engineering pipelines for AI applications.

• Develop and integrate APIs supporting Generative AI solutions.

• Contribute to RAG-based applications, including retrieval and search workflows.

• Participate in the development and integration of Multi-Agent and Agentic AI systems.

• Apply workflow orchestration techniques to automate AI-powered processes.

• Participate in code reviews, testing, debugging, and technical documentation.

• Follow software engineering best practices using Git and version control.

• Support containerized AI applications using Docker.

• Stay current with advancements in Generative AI, LLMs, RAG, Agentic AI, and AI/ML technologies.

• Share technical knowledge and relevant industry developments with the team.

• Follow responsible AI, data privacy, security, and compliance principles.

• Hands-on experience with Generative AI and Large Language Models (LLMs).

• Strong understanding of Prompt Engineering.

• Experience or exposure to Retrieval-Augmented Generation (RAG).

• Basic understanding of Hybrid Search, Vector Search, and Semantic Search.

• Exposure to Multi-Agent Systems / Agentic AI / AI Agents.

• Strong proficiency in Python for AI development, scripting, and data preprocessing.

• Understanding of AI workflow orchestration.

• Experience or exposure to AI model deployment and production environments.

• Understanding of Docker and containerization.

• Experience with API development and integration.

• Experience with or exposure to LangChain, LlamaIndex, and/or Hugging Face is preferred.

• Understanding of Git and version control systems.

• Awareness of AI compliance, data privacy, security, and responsible AI principles.

• Hands-on experience with at least one major machine learning framework such as PyTorch, TensorFlow, or Keras is advantageous.

Candidates with experience in the following areas will be highly valued:

• Enterprise Generative AI applications

• LLM-powered applications

• RAG pipelines and knowledge-based AI systems

• Vector and hybrid search

• Agentic AI and Multi-Agent architectures

• AI workflow automation and orchestration

• Production deployment of AI/ML applications

• Python-based AI application development

• LangChain, LlamaIndex, or Hugging Face

• Docker-based AI deployments

• API integration for AI applications

• Strong analytical and problem-solving abilities.

• Excellent communication and collaboration skills.

• Ability to work effectively with Data Scientists and Engineering teams.

• Strong attention to detail.

• Willingness to learn new AI/ML technologies and frameworks.

• Open to feedback and continuous improvement.

• Ability to work effectively in an onsite environment.

Interested candidates can share their updated resume and contact information for consideration.

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Subject: AI Lead Generative AI