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Ai Full Stack Developer Rag React

  • Job type Posted on: Jul 23, 2026
  • Experience level Akaasa Technologies
  • Employment type Charlotte, North Carolina
  • Employment type Onsite
  • Salary Full-time
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Job Title :

Ai Full Stack Developer Rag React

Job Type :

Full-time

Job Location :

Charlotte North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Industry :Energy industry.

Location : Charlotte, NC (Hybrid 3 days onsite)

The ideal candidate has hands-on experience building full-stack AI applications using Python, FastAPI, React, cloud services, and modern LLM frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar tools.

Required Skills

  • Hands-on GenAI/LLM application development experience.
  • Strong Python development experience.
  • Experience with FastAPI, Flask, REST APIs, microservices, or model inference endpoints.
  • Experience building RAG pipelines, including document ingestion, chunking, embeddings, vector search, retrieval, and citations.
  • Experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar.
  • MUST HAVE: React or modern front-end development experience.
  • Cloud deployment experience with AWS or Azure.
  • CI/CD, Docker, Kubernetes, monitoring, logging, or observability experience.
  • Ability to troubleshoot production AI applications, including retrieval issues, prompt issues, model behavior, latency, cost, and data quality.
  • Strong communication skills with the ability to translate business and engineering needs into technical solutions.

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Jobcon Logo Position Details

Posted:

Jul 23, 2026

Reference Number:

30467-20508

Employment:

Full-time

Salary:

Not Available

City:

Charlotte

Job Origin:

CIEPAL_ORGANIC_FEED

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Industry :Energy industry.

Location : Charlotte, NC (Hybrid 3 days onsite)

The ideal candidate has hands-on experience building full-stack AI applications using Python, FastAPI, React, cloud services, and modern LLM frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar tools.

Required Skills

  • Hands-on GenAI/LLM application development experience.
  • Strong Python development experience.
  • Experience with FastAPI, Flask, REST APIs, microservices, or model inference endpoints.
  • Experience building RAG pipelines, including document ingestion, chunking, embeddings, vector search, retrieval, and citations.
  • Experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar.
  • MUST HAVE: React or modern front-end development experience.
  • Cloud deployment experience with AWS or Azure.
  • CI/CD, Docker, Kubernetes, monitoring, logging, or observability experience.
  • Ability to troubleshoot production AI applications, including retrieval issues, prompt issues, model behavior, latency, cost, and data quality.
  • Strong communication skills with the ability to translate business and engineering needs into technical solutions.

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