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# Looking for Python Developer Lang Chain & Lang Graph _ Need local to CHARLOTTE NC _ Only locals required No Relocation_ PLEASE SHARE ONLY LOCAL TO CHARLOTTE NC. _In Person Interview

- **Company:** Vrddhi Solutions LLC
- **Location:** Charlotte, NC, United States
- **Contract:** Contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Software Applications, Application Performance Management, Unit Testing, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Continuous Integration, Data Structures, Software Debugging, Python (Programming Language), PostgreSQL, Language Modeling, MongoDB, MySQL, NoSQL, Object-Oriented Software Development, OpenAI, Search Technologies, Secure Coding, SQL Databases, Software Organization, Pinecone, Google Cloud, Retrieval-Augmented Generation, Flask (Web Framework), Open-source Models, Large Language Models, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, Generative AI, Agentic-AI, Git, Fastapi, LangSmith, Kubernetes, Information Technology, Low Latency, Weaviate, FAISS, Claude, Virtual Agents, Asynchronous Programming, Azure AI, Evaluation of Large Language Models, Invoking Functions, Restful APIs, Model Context Protocol, GPT, Docker, ChromaDB
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/f47eb00a-6624-4ac6-a5bd-c43261ec9960

## About the Role

* Strong programming skills in Python, including OOP, exception handling, asynchronous programming, and data structures.
 * Hands-on experience with LangChain and LangGraph.
 * Good understanding of LLMs, transformers, tokens, embeddings, and context windows.
 * Practical experience building RAG applications and semantic search systems.
 * Experience with REST APIs and FastAPI or Flask.
 * Knowledge of vector databases and similarity search.
 * Familiarity with SQL/NoSQL databases such as PostgreSQL, MySQL, or MongoDB.
 * Experience with Git, debugging, testing, and software development best practices.

Preferred Skills

 * Experience with multi-agent systems and agent orchestration.
 * Knowledge of Model Context Protocol (MCP).
 * Familiarity with LangSmith or similar LLM tracing and evaluation tools.
 * Experience with AWS Bedrock, Azure AI, or Google Vertex AI.
 * Knowledge of CI/CD, Docker, Kubernetes, and production monitoring.
 * Understanding of LLM evaluation, guardrails, prompt injection risks, and responsible AI practices., Bachelor s or Master s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

## Description

We are looking for a skilled Python Developer with hands-on experience in Generative AI, Large Language Models (LLMs), LangChain, and LangGraph. The candidate will design, develop, and deploy AI-powered applications, intelligent agents, and Retrieval-Augmented Generation (RAG) solutions., * Develop scalable backend applications using Python, FastAPI, and REST APIs.

 * Build LLM-powered applications using LangChain and LangGraph.
 * Design and implement RAG pipelines using document loaders, text splitters, embeddings, and vector databases.
 * Integrate LLMs such as OpenAI GPT, Azure OpenAI, Anthropic Claude, or open-source models.
 * Develop AI agents with tool calling, function calling, and multi-step reasoning workflows.
 * Implement stateful, multi-agent workflows using LangGraph, including conditional routing, persistence, checkpoints, and human-in-the-loop approval.
 * Work with vector databases such as FAISS, Chroma, Pinecone, or Weaviate.
 * Implement prompt engineering, structured outputs, and LLM response validation.
 * Integrate external APIs, databases, and enterprise knowledge sources.
 * Optimize latency, token consumption, reliability, and application performance.
 * Write unit tests, debug applications, and follow secure coding practices.
 * Deploy AI applications using Docker and cloud platforms such as AWS, Azure, or Google Cloud Platform.