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GenAI Engineer
Job Location:
Job Location:
Charlotte, NC - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
23 October 2026 (13 hours ago)
Posted:
Application Deadline:
20 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Tekfortune is a fast-growing consulting firm specialized in permanent contract & project-based staffing services for worlds leading organizations in a broad range of this quickly changing economic landscape virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps our staffing experts can help you find the best job for you.
Position: GenAI Engineer
Location: Newark DE or Pennington NJ
3 days onsite/2 remote
12 month contract to hire
IV Process: 2 rounds; Final round is onsite
Requirements:
We are looking for a Generative AI Engineer to design build and deploy GenAI solutions on on-premises models and infrastructure. Youll split your time between GenAI work and data engineering and youll work with a cross-functional team on projects in data extraction chatbots fraud detection and prevention and classification models. This role is for someone who has deployed monitored and tuned models in live production environments and wants to keep learning.
What Youll Do
Required Qualifications
Preferred Qualifications
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at
Position: GenAI Engineer
Location: Newark DE or Pennington NJ
3 days onsite/2 remote
12 month contract to hire
IV Process: 2 rounds; Final round is onsite
Requirements:
- 3 years of experience in AI and Generative AI
- Programming experience in Python including LangChain LangGraph and Streamlit.
- Expertise in data science and experience with AI frameworks.
- Knowledge of natural language processing for text generation.
- Skills in data preprocessing feature engineering and vector databases.
We are looking for a Generative AI Engineer to design build and deploy GenAI solutions on on-premises models and infrastructure. Youll split your time between GenAI work and data engineering and youll work with a cross-functional team on projects in data extraction chatbots fraud detection and prevention and classification models. This role is for someone who has deployed monitored and tuned models in live production environments and wants to keep learning.
What Youll Do
- Design develop and deploy GenAI solutions using on-prem LLMs and infrastructure
- Build chatbots and data extraction solutions using LLMs prompt engineering and NLP
- Support traditional AI/ML work including fraud detection fraud prevention and classification models
- Monitor model performance after go-live then tune and optimize models in production
- Support live production environments
- Analyze large datasets in a Hadoop environment using SQL
- Support data processing and data engineering work alongside GenAI projects
- Work with cross-functional teams to deliver GenAI solutions from design through production
Required Qualifications
- 4 years of combined experience in AI/ML Python and data engineering
- 2 years of hands-on GenAI experience in production including deploying monitoring and tuning models
- Strong Python programming skills
- Hands-on experience with LangChain LangGraph and Streamlit
- Experience with LLMs prompt engineering and chatbot development
- Knowledge of natural language processing (NLP) for text generation
- Skilled in data preprocessing feature engineering and vector databases
- SQL skills for data analysis
- Background in data science and AI frameworks
- Eager to learn and grow with new technologies
Preferred Qualifications
- Experience deploying models on-premises
- Experience moving from traditional ML into GenAI/LLM work
- Hadoop experience
- ETL experience
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at
Required Experience:
IC
