Kriscon

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)