Job Title: AI Engineer
Location: Alpharetta, GA
Duration: 14 Months + Extension
Bill Rate: $68/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other


Job Summary:

• We are seeking an experienced AI Engineer with 14+ years of overall IT experience and strong expertise in designing, developing, and deploying enterprise-scale AI/ML and Generative AI solutions. The ideal candidate will lead AI initiatives, collaborate with cross-functional teams, and drive the implementation of scalable AI systems that support business objectives.

Required Skills:

• 12+ years of software engineering and data solutions experience.
• 5+ years of hands-on experience in Artificial Intelligence, Machine Learning, and Deep Learning.
• Strong expertise in Generative AI, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and AI Agents.
• Experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar AI platforms.
• Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Experience with LangChain, LlamaIndex, Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS).
• Strong understanding of prompt engineering and LLM fine-tuning.
• Experience building REST APIs and microservices.
• Knowledge of cloud platforms: Azure, AWS, or GCP.
• Experience with MLOps, CI/CD, Docker, and Kubernetes.
• Strong SQL and NoSQL database experience.

Responsibilities:

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Lead architecture discussions and provide technical guidance to development teams.
• Build RAG-based applications, AI copilots, chatbots, and intelligent automation solutions.
• Integrate LLMs with enterprise applications and data sources.
• Optimize model performance, scalability, and cost efficiency.
• Collaborate with business stakeholders to identify AI use cases and deliver solutions.
• Mentor junior engineers and establish AI engineering best practices.
• Ensure AI governance, security, and compliance standards are followed.

Preferred Qualifications:

• Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Experience in healthcare, finance, retail, or enterprise digital transformation projects.
• AI/Cloud certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Professional ML Engineer.