Full Stack Developer GenAI Location: Charlotte NC (Hybrid/Onsite Preferred)
Employment Type: Full-time / C2C
Experience Required: 4 8 Years
Job Description We are seeking a highly skilled Full Stack Developer with strong Python expertise and hands-on experience in Generative AI technologies to build intelligent and scalable enterprise applications. The ideal candidate will have experience integrating Large Language Models (LLMs) into modern web architectures and delivering production-ready AI-powered features.
Key Responsibilities -
Develop and maintain full-stack applications integrating Generative AI capabilities.
-
Design and build backend services and APIs using Python (FastAPI/Flask) or .
-
Develop responsive front-end applications using React Angular or .
-
Integrate LLM APIs such as OpenAI/Azure OpenAI/Hugging Face into enterprise workflows.
-
Implement RAG (Retrieval-Augmented Generation) workflows and prompt engineering techniques.
-
Work with SQL/NoSQL databases and vector databases like Pinecone FAISS or Weaviate.
-
Deploy applications on AWS/Azure/GCP with CI/CD pipelines and containerization.
-
Collaborate with product managers ML engineers and stakeholders to deliver AI-driven solutions.
Required Skills -
Strong proficiency in Python for backend development.
-
Experience with modern frontend frameworks (React/Angular/Vue).
-
Hands-on experience with FastAPI/Flask REST APIs and microservices.
-
Exposure to LLM integrations LangChain and vector databases.
-
Experience with PostgreSQL MongoDB or DynamoDB.
-
Knowledge of Docker Kubernetes CI/CD pipelines.
-
Strong debugging optimization and problem-solving skills.
Preferred Skills -
Experience with LangChain LlamaIndex or similar frameworks.
-
Understanding of RAG architectures and embeddings.
-
Exposure to NLP/ML pipelines or model fine-tuning.
-
Familiarity with enterprise SDLC and Agile methodologies.
-
UI/UX awareness for AI-powered applications.
Full Stack Developer GenAI Location: Charlotte NC (Hybrid/Onsite Preferred) Employment Type: Full-time / C2C Experience Required: 4 8 Years Job Description We are seeking a highly skilled Full Stack Developer with strong Python expertise and hands-on experience in Generative AI technologies to...
Full Stack Developer GenAI Location: Charlotte NC (Hybrid/Onsite Preferred)
Employment Type: Full-time / C2C
Experience Required: 4 8 Years
Job Description We are seeking a highly skilled Full Stack Developer with strong Python expertise and hands-on experience in Generative AI technologies to build intelligent and scalable enterprise applications. The ideal candidate will have experience integrating Large Language Models (LLMs) into modern web architectures and delivering production-ready AI-powered features.
Key Responsibilities -
Develop and maintain full-stack applications integrating Generative AI capabilities.
-
Design and build backend services and APIs using Python (FastAPI/Flask) or .
-
Develop responsive front-end applications using React Angular or .
-
Integrate LLM APIs such as OpenAI/Azure OpenAI/Hugging Face into enterprise workflows.
-
Implement RAG (Retrieval-Augmented Generation) workflows and prompt engineering techniques.
-
Work with SQL/NoSQL databases and vector databases like Pinecone FAISS or Weaviate.
-
Deploy applications on AWS/Azure/GCP with CI/CD pipelines and containerization.
-
Collaborate with product managers ML engineers and stakeholders to deliver AI-driven solutions.
Required Skills -
Strong proficiency in Python for backend development.
-
Experience with modern frontend frameworks (React/Angular/Vue).
-
Hands-on experience with FastAPI/Flask REST APIs and microservices.
-
Exposure to LLM integrations LangChain and vector databases.
-
Experience with PostgreSQL MongoDB or DynamoDB.
-
Knowledge of Docker Kubernetes CI/CD pipelines.
-
Strong debugging optimization and problem-solving skills.
Preferred Skills -
Experience with LangChain LlamaIndex or similar frameworks.
-
Understanding of RAG architectures and embeddings.
-
Exposure to NLP/ML pipelines or model fine-tuning.
-
Familiarity with enterprise SDLC and Agile methodologies.
-
UI/UX awareness for AI-powered applications.
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