Sr LangGraph + AgenticAI Developer

TechDigital Group; Dallas (TX); On-site; USD 130,000 - 160,000; Full time

Job summary

TechDigital Group is seeking a highly experienced Senior LangGraph Developer to architect agentic workflows using LangGraph. The role demands expertise in complex multi-agent systems.

Responsibilities include designing scalable architectures, leading system development, and optimizing performance. Candidates should have 10-15 years of software engineering experience, including proficiency in Python and asynchronous programming.

Qualifications

• 10 to 15 years of experience in software engineering.
• At least 2 years in LangGraph or other agentic frameworks.
• Deep understanding of LLM orchestration and stateful agent design.

Responsibilities

• Design and implement advanced LangGraph workflows.
• Lead the development of agentic systems.
• Optimize performance and scalability of LangGraph graphs.
• Integrate LangGraph with external APIs and databases.
• Mentor junior developers.
• Collaborate with AI researchers and product teams.

Skills

GenAI fundamentals

Prompt engineering

LLM expertise

Agentic AI

LangGraph

CI/CD

Python programming

Asynchronous programming

Graph-based computation

Workflow debugging

Job description

Client is looking for a hands‑on GenAI + LangGraph candidate who is very good at GenAI fundamentals, prompt engineering, LLM, agentic AI, agentic system design, LangChain, LangGraph, monitoring, CI/CD, and has coding expertise with AI agents.

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.

Nice to have skills

• Working knowledge with MCP servers
• Google ADK

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.

Experience & Qualifications

10 to 15 years of experience in software engineering, with at least 2 years in LangGraph or other 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).