Nexify Infosystems
Lang Graph Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior LangGraph Developer in Charlotte, NC, for a long-term contract. Requires 8+ years in software engineering, with 3-4 years in LangGraph, expert Python skills, and experience with LLM platforms. Onsite work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Automation #Langchain #Programming #AI (Artificial Intelligence) #Databases #Python #HBase #Debugging #Visualization #Scala
Role description
Lang graph Developer
Charlotte NC - Onsite
Duration : Longterm
Mode of interview : In-person
Job Summary:
We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation. You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains.
Key Responsibilities:
· Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
· Lead the development of agentic systems that interact, reason, and adapt dynamically.
· Optimize performance and scalability of LangGraph graphs in production environments.
· Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
· Mentor junior developers and establish best practices for LangGraph development.
· Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.
Required Skills & Experience:
· 8+ years in software engineering, with at least 3-4 years in LangGraph or agentic frameworks.
· Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
· Deep understanding of LLM orchestration, memory management, and stateful agent design.
· Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
· Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
· Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
Lang graph Developer
Charlotte NC - Onsite
Duration : Longterm
Mode of interview : In-person
Job Summary:
We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation. You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains.
Key Responsibilities:
· Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
· Lead the development of agentic systems that interact, reason, and adapt dynamically.
· Optimize performance and scalability of LangGraph graphs in production environments.
· Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
· Mentor junior developers and establish best practices for LangGraph development.
· Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.
Required Skills & Experience:
· 8+ years in software engineering, with at least 3-4 years in LangGraph or agentic frameworks.
· Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
· Deep understanding of LLM orchestration, memory management, and stateful agent design.
· Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
· Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
· Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
