LangGraph Developer

Hybrid in Dallas, TX, US • Posted 29 days ago • Updated 25 days ago
Contract W2
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • LangGraph
  • LLM
  • ML
  • LangChain
  • OpenAI
  • Anthropic
  • agentic frameworks

Summary

Greetings!!

We have an urgent job opportunity with one of our clients for a LangGraph Developer. If interested, please respond back to me with the below-required details or appreciate it if you would be able to refer an ex-colleague/team member/friend looking for similar roles. CardinalIT offers a referral bonus of $500 for each such referral, to show gratitude and appreciation for this gesture.

  • Updated Resume:
  • Expected Hourly Rates on W2/C2C:
  • Availability to start: -

Position: LangGraph Developer

Location: Dallas, TX (3 Days Onsite)

Duration: 6+ Months Contract (Possible Extension)

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.

--

Best Regards,

Abhishek Singh | Assistant Manager Recruitment | Cardinal Integrated Technologies Inc

Direct: +1

Ph: Ext 337
Email:
Linkedin Url:
707 Alexander Rd, Ste 202 Princeton, NJ 08540 USA.
"Bringing IT Together!"

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10121181
  • Position Id: 8875099
  • Posted 29 days ago
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