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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