Full Stack Developer Python, React, Langchain

  • richmond, VA
  • Posted 10 hours ago | Updated 10 hours ago

Overview

On Site
$60
Part Time
Full Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 month(s)

Skills

Python
React
Langchain
LLMs

Job Details

Full Stack Developer (Python, React, Langchain, Agentic AI) - Remote Contract



Location: Remote



Duration: 6 Months



Contract Type: W2, Contract, or C2C



Start Date: Immediate or as per availability



Client Industry: Third-Party Logistics (3PL), Supply Chain Management



About the Client



Our client is a fast-scaling innovator in the third-party logistics (3PL) space, leveraging intelligent automation to transform supply chain operations. They are building a next-generation logistics platform grounded in Agentic AI enabling autonomous, goal-driven agents to optimize workflows, decision-making, and customer interactions.



Role Overview





We are seeking Full Stack Developers with a passion for building AI-native applications. This role focuses on developing a logistics platform powered by Agentic AI, using Langchain to orchestrate intelligent agents and Gen AI to enhance reasoning, retrieval, and automation. This is a remote, 6-month contract ideal for developers who thrive at the intersection of AI and real-world systems.



Responsibilities



- Design and develop full stack applications using Python and React



- Build and deploy Agentic AI workflows using Langchain and LLMs



- Architect autonomous agents for logistics use cases such as routing, exception handling, and predictive insights



- Integrate Gen AI capabilities for dynamic reasoning, semantic search, and task planning



- Collaborate with cross-functional teams to translate logistics requirements into scalable, intelligent systems



- Ensure performance, reliability, and maintainability of AI-driven applications



Required Skills



- Proficiency in Python and React for full stack development



- Hands-on experience with Langchain and LLM-based agent frameworks



- Strong understanding of Agentic AI principles and Gen AI tooling (e.g., OpenAI, Hugging Face, vector stores)



- Experience with RESTful APIs, microservices, and cloud-native deployment



- Familiarity with CI/CD pipelines, Git, and agile development practices



- Excellent communication and problem-solving skills



Preferred Qualifications



- Experience in logistics, supply chain, or transportation systems



- Exposure to RAG pipelines, semantic search, or autonomous agent orchestration



- Familiarity with containerization (Docker) and orchestration (Kubernetes)


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