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Sr LangGraph Developer - Only W2

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Onsite

Sr LangGraph Developer - Only W2

Saransh Inc

Sr LangGraph Developer - Only W2

Skills

NodePythonAI

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Dallas, TX, USA

Work mode:

Onsite

Published on:

23 August 2026

What they need


Job Title: Sr LangGraph Developer Onsite in Dallas, TX W2 Position 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).

Years of Experience: 9.00 Years of Experience

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