Gen AI
Published on CazVidat TekBricks
Role Summary: Responsible for designing, developing, and deploying GenAI solutions using LLMs and emerging AI technologies to improve automation, productivity,
Salary
$5,000 per month
Location
Waxhaw, North Carolina, United States
Employment type
Full time
Workplace
Not provided
Gen AI
$5,000 per month
Job description
Role Summary: Responsible for designing, developing, and deploying GenAI solutions using LLMs and emerging AI technologies to improve automation, productivity, and user experience. Key Responsibilities: Build and fine-tune LLMs and GenAI models. Develop AI applications, chatbots, and automation tools. Integrate AI solutions with enterprise systems and APIs. Ensure model quality, security, and responsible AI practices. Collaborate with cross-functional teams to identify AI use cases. Skills Required: Strong knowledge of Python, ML/DL, NLP, and GenAI frameworks. Experience with LLMs, embeddings, vector databases, and RAG. Familiarity with cloud platforms (Azure, AWS, GCP). Good problem-solving and communication skills.
Frequently asked questions
Is this position remote or on-site?
This is a full-time, on-site position located in Waxhaw, North Carolina, and remote work is not available.
What is the monthly salary for this Gen AI Engineer role?
The salary for this position is USD 5,000 per month.
What technical skills do I need to qualify for this job?
You need to be proficient in Python, machine learning, deep learning, natural language processing, and GenAI frameworks, with hands-on experience in large language models, embeddings, vector databases, and retrieval-augmented generation.
What will my main responsibilities be as a Gen AI Engineer here?
You will build, fine-tune, and optimize GenAI models, develop AI-driven applications and chatbots, integrate AI solutions with enterprise systems, maintain model quality and security, and collaborate with teams to identify AI use cases.
Do I need experience with cloud platforms for this role?
Yes, familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.