Novasoft
Full Stack Engineer Generative AI Solutions
Novasoft, Charlotte, North Carolina, United States, 28245
Location:
Charlotte Employment Type:
Full-Time Experience Level:
5+ Years in Full Stack Development; 2+ Years in AI/ML Integration Preferred Position Overview
We are seeking a highly skilled and forward-thinking
Full Stack Engineer Generative AI Solutions
to design, develop, and deploy end-to-end applications enhanced with GenAI capabilities. You will be at the forefront of integrating cutting-edge generative models (e.g., LLMs, Transformers) into production-grade applications. This role demands strong engineering fundamentals, full-stack proficiency, and a passion for leveraging AI to build intelligent systems. Key Responsibilities:
Develop and deploy GenAI-powered features across front-end, back-end, and database layers. Integrate Large Language Models (LLMs) and other generative models into new and existing software systems. Design and manage CI/CD pipelines optimized for GenAI model deployment and updates. Build and maintain efficient, reliable data pipelines for GenAI model training and inference. Write clean, modular, testable, and well-documented code. Troubleshoot and debug full-stack and AI model integration issues in production environments. Collaborate cross-functionally with product, data science, and design teams. Stay current on GenAI trends, frameworks (e.g., Agentic AI), and full-stack technologies. Work with AI/ML model APIs and platforms such as OpenAI, Hugging Face, or Google Vertex AI. Required Qualifications:
Proficiency in multiple programming languages such as
Python ,
JavaScript , and
Java . Solid hands-on experience with modern
front-end frameworks : React, Angular, or Vue.js. Strong
back-end development
expertise using Node.js, Flask/Django, or Spring. Experience with
SQL and NoSQL
databases. Familiarity with
cloud platforms , especially AWS (e.g., Lambda, S3, SageMaker). Strong understanding of
CI/CD practices , DevOps, and SDLC principles. Experience with
Docker and Kubernetes
for containerization and orchestration. Hands-on integration of
AI/ML models into production applications . Deep understanding of
GenAI concepts , including LLMs, transformers, embeddings, and prompt engineering. Exposure to frameworks such as
LangChain ,
AutoGen , or
Agentic AI . Application Process:
Please submit your resume, cover letter, and examples of GenAI projects or architectures you've led. Include specific details about your experience integrating AI models into enterprise systems and your approach to leading technical teams. #J-18808-Ljbffr
Charlotte Employment Type:
Full-Time Experience Level:
5+ Years in Full Stack Development; 2+ Years in AI/ML Integration Preferred Position Overview
We are seeking a highly skilled and forward-thinking
Full Stack Engineer Generative AI Solutions
to design, develop, and deploy end-to-end applications enhanced with GenAI capabilities. You will be at the forefront of integrating cutting-edge generative models (e.g., LLMs, Transformers) into production-grade applications. This role demands strong engineering fundamentals, full-stack proficiency, and a passion for leveraging AI to build intelligent systems. Key Responsibilities:
Develop and deploy GenAI-powered features across front-end, back-end, and database layers. Integrate Large Language Models (LLMs) and other generative models into new and existing software systems. Design and manage CI/CD pipelines optimized for GenAI model deployment and updates. Build and maintain efficient, reliable data pipelines for GenAI model training and inference. Write clean, modular, testable, and well-documented code. Troubleshoot and debug full-stack and AI model integration issues in production environments. Collaborate cross-functionally with product, data science, and design teams. Stay current on GenAI trends, frameworks (e.g., Agentic AI), and full-stack technologies. Work with AI/ML model APIs and platforms such as OpenAI, Hugging Face, or Google Vertex AI. Required Qualifications:
Proficiency in multiple programming languages such as
Python ,
JavaScript , and
Java . Solid hands-on experience with modern
front-end frameworks : React, Angular, or Vue.js. Strong
back-end development
expertise using Node.js, Flask/Django, or Spring. Experience with
SQL and NoSQL
databases. Familiarity with
cloud platforms , especially AWS (e.g., Lambda, S3, SageMaker). Strong understanding of
CI/CD practices , DevOps, and SDLC principles. Experience with
Docker and Kubernetes
for containerization and orchestration. Hands-on integration of
AI/ML models into production applications . Deep understanding of
GenAI concepts , including LLMs, transformers, embeddings, and prompt engineering. Exposure to frameworks such as
LangChain ,
AutoGen , or
Agentic AI . Application Process:
Please submit your resume, cover letter, and examples of GenAI projects or architectures you've led. Include specific details about your experience integrating AI models into enterprise systems and your approach to leading technical teams. #J-18808-Ljbffr