

Lorven Technologies Inc.
Senior LangGraph Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior LangGraph Developer in Dallas, TX/Charlotte, NC (Hybrid) with a long-term contract. Requires 8+ years in software engineering, 3-4 years in LangGraph, expertise in Python, and experience with LLM platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 17, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Charlotte, NC
-
π§ - Skills detailed
#Visualization #Scala #AI (Artificial Intelligence) #Debugging #Langchain #Python #Databases #Programming #Automation #HBase
Role description
Hello Professionals,
Our client is looking for Senior LangGraph Developer a Dallas,TX/Charlotte,NC (Hybrid) Itβs a Long Term Contract opportunity.Kindly share your updated resume to proceed further.
Job Title: Senior LangGraph Developer
Location: Dallas,TX/Charlotte,NC (Hybrid)
Duration: Long Term Contract
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.
Responsibilities:
β’ Bachelors or Equivalent degree with 8+ years in software engineering, with at least 3-4 years in LangGraph or agentic frameworks.
β’ Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
β’ Deep understanding of LLM orchestration, memory management, and stateful agent design.
β’ Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
β’ Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
β’ Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
β’ Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
β’ Lead the development of agentic systems that interact, reason, and adapt dynamically.
β’ Optimize performance and scalability of LangGraph graphs in production environments.
β’ Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
β’ Mentor junior developers and establish best practices for LangGraph development.
β’ Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.
Hello Professionals,
Our client is looking for Senior LangGraph Developer a Dallas,TX/Charlotte,NC (Hybrid) Itβs a Long Term Contract opportunity.Kindly share your updated resume to proceed further.
Job Title: Senior LangGraph Developer
Location: Dallas,TX/Charlotte,NC (Hybrid)
Duration: Long Term Contract
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.
Responsibilities:
β’ Bachelors or Equivalent degree with 8+ years in software engineering, with at least 3-4 years in LangGraph or agentic frameworks.
β’ Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
β’ Deep understanding of LLM orchestration, memory management, and stateful agent design.
β’ Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
β’ Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
β’ Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
β’ Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
β’ Lead the development of agentic systems that interact, reason, and adapt dynamically.
β’ Optimize performance and scalability of LangGraph graphs in production environments.
β’ Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
β’ Mentor junior developers and establish best practices for LangGraph development.
β’ Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.






