Lorven Technologies Inc.

Senior LangGraph Developer

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 17, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Charlotte, NC
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🧠 - 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) It’s 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.