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Langgraph Jobs in Seattle, WA (NOW HIRING)

Tata Consultancy Services

AI Enterprise Architect

Seattle, WA · On-site

$78.50 - $101.25/hr

... LangGraph, Model Context Protocol (MCP), Agent to Agent Protocols, Google AI Development Kit (ADK), Azure AI Studio or AWS Bedrock. • Integrate large language models (LLMs) such as Llama, Gemini ...

SoftPath Technologies LLC

AI Engineer

Bellevue, WA · On-site

$160K/yr

Up to $160K Experience Required: ✔️ 15+ Years in IT ✔️ 3+ Years in AI/ML OR ✔️ 6+ Years in Data Engineering Required Skills: 🔹 Model Context Protocol (MCP) 🔹 LangChain | LangGraph ...

CoreWeave

Senior Software and AI Engineer

Bellevue, WA · On-site

$137K - $181K/yr

Responsibilities : • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API • Design and build first-party web and mobile ...

Wipro Limited

AI Engineer L1

Bellevue, WA · On-site

$100K - $180K/yr

Hands-on experience with Agentic AI frameworks like LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and Azure Agentic Framework. * Ability to design multi-agent workflows and multi-agent ...

New

DataRobot

Agentic AI Intern

Seattle, WA · Remote

Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation Platform & Product * End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and ...

DataRobot

Agentic AI Intern

Seattle, WA · Remote

Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation Platform & Product * End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and ...

Deloitte

Oracle Gen AI Manager

Seattle, WA · On-site

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

SoFi

Senior Staff AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

Architect and standardize the use of graph-based LLM orchestration, leveraging expert-level mastery of LangGraph to solve highly complex, multi-stage reasoning problems at scale. • Distributed ...

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All JobsLanggraph JobsLanggraph Jobs in Seattle, WA

Langgraph information

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.
What are popular job titles related to Langgraph jobs in Seattle, WA? For Langgraph jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Seattle, WA look for? The top searched job categories for Langgraph jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Langgraph jobs? Cities near Seattle, WA with the most Langgraph job openings:
Langgraph jobs near you
Infographic showing various Langgraph job openings in Seattle, WA as of July 2026, with employment types broken down into 55% Full Time, 7% Part Time, and 38% Contract. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution.

Agentic Systems Architect (AI Engineering)

Hyphen Connect Limited

Seattle, WA • On-site

$276K/yr

Other

Re-posted 11 days ago

Job description

Key Responsibilities

  • Architect multi-agent orchestration frameworks.
  • Build robust tool-calling pipelines and reasoning loops.
  • Optimize latency and token usage for real-time agentic workflows.

Requirements

  • Proven experience with LangGraph, AutoGen, or similar multi-agent frameworks.
  • Deep understanding of Agentic RAG and autonomous tool-calling.
  • Background in system architecture and workflow automation.

Apply