Senior LangGraph Architect & Agentic Systems Lead

TechDigital Group; Dallas (TX); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Office 3 days/week

Job summary

TechDigital Group is seeking a Senior LangGraph Developer to architect and implement stateful, multi-agent workflows leveraging LLMs for decision-making and automation. The role focuses on scalable LangGraph architectures powering intelligent applications across domains.

Locations: Dallas (Primary), Charlotte (Secondary) with hybrid mode (3 days in office). You will lead design, mentoring, and integration of LangGraph with external APIs and databases.

Qualifications

• 10+ years in software engineering, with at least 2+ 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.

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.
• Design, create and deploy AgenticAI models at production level.

Skills

Python

Async programming

Graph-based computation

LLM orchestration

LangChain

LangGraph

AgenticAI

Tools

LangGraph Studio

OpenAI

Anthropic

Job description

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.

Locations: Dallas(Primary), Charlotte(Secondary) – Hybrid mode(work from office 3 days a week)

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.
• Design , create and deploy AgenticAI models at production level.


Required Skills & Experience:

• 10+ years in software engineering , with at least 2+ 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.
• Proficient with AgenticAI models.
• Vetted with Evaluation metrics(RAG, Batch processing, AgenticAI).