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Fullstack Developer – React, Python, AWS, and GenAI (MID-LEVEL)

ClinDCast LLC

Fullstack Developer – React, Python, AWS, and GenAI (MID-LEVEL)

Charlotte, NC
Full Time
Paid
  • Responsibilities

    Position Title:

    Fullstack Developer – React, Python, AWS, and GenAI

    Job Summary:

    We are seeking a highly skilled and self-driven Fullstack Developer with strong experience in React, Python, AWS, and Generative AI technologies. This role will be instrumental in designing, developing, and deploying intelligent, cloud-based applications that incorporate LLMs and GenAI capabilities. The ideal candidate will have a solid background in frontend and backend development, experience with cloud-native solutions on AWS, and a strong interest or hands-on exposure to AI and LLM tools.

    Key Responsibilities:

    Design, build, and maintain scalable, responsive fullstack web applications using React and Python.

    Architect and implement backend services, APIs, and data models.

    Integrate Generative AI models and services into product workflows (OpenAI, Hugging Face, LangChain, etc.).

    Develop and manage cloud infrastructure using AWS tools (Lambda, S3, API Gateway, DynamoDB, etc.).

    Write unit, integration, and E2E tests to ensure software quality.

    Work closely with UI/UX designers, ML engineers, and DevOps teams to deliver production-ready features.

    Optimize performance, security, and scalability of applications.

    Participate in sprint planning, code reviews, and team retrospectives.

    Required Qualifications:

    Bachelor’s degree in Computer Science, Engineering, or related field.

    3–6+ years of experience as a fullstack developer.

    Expertise in React.js (Next.js preferred), JavaScript/TypeScript.

    Proficient in Python frameworks such as FastAPI, Django, or Flask.

    Hands-on experience with AWS services for backend architecture and deployments.

    Experience with LLMs, vector databases, and prompt engineering.

    Familiarity with containerization and CI/CD (Docker, GitHub Actions, etc.).

    Preferred Qualifications:

    Master’s degree or advanced certifications in AI, Cloud, or Software Engineering.

    Experience with vector stores like Pinecone, Weaviate, FAISS, or ChromaDB.

    Familiarity with LangChain, RAG architectures, and embedding models.

    Background in building SaaS platforms or data-driven products.

    Understanding of DevOps, security best practices, and performance tuning.

    Key Skills:

    React, TypeScript, Next.js

    Python, FastAPI, Django, Flask

    AWS (Lambda, API Gateway, S3, DynamoDB, CloudFormation)

    OpenAI, Hugging Face, LangChain, Pinecone

    RESTful API Design, Postgres/NoSQL, Docker

    Git, GitHub Actions, CI/CD