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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 ...

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 Technologies

AI Engineer L1

Bellevue, WA · On-site

$100 - $180/hr

Build and manage Agentic AI frameworks using LangChain, LangGraph, AutoGen, and CrewAI, Semantic Kernel, Azure Agentic Framework covering agent orchestration, tool use, memory management, and dynamic ...

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 ...

Bristol Myers Squibb

Senior Data Scientist

Seattle, WA · On-site

Use tools such as LangGraph, LangSmith, PydanticAI, or similar frameworks to test agent behavior, retrieval quality, reasoning traces, and workflow reliability. * Evaluate whether curated enterprise ...

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

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 ...

LangChain, Inc

Deployed Engineer (Seattle)

Seattle, WA · On-site

$165K - $380K/yr

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched ...

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All JobsLanggraph JobsLanggraph Jobs in Seattle, WA

Langgraph information

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 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 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 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 August 2026, with employment types broken down into 1% Internship, 89% Full Time, 4% Part Time, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Engineer 2 - AI Agentic Solutions

Seattle, WA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$120 - $160/hr

Other

Posted 9 days ago

Job description

  • Design and build agentic components with minimal supervision.
  • Contribute to context engineering work.
  • Apply AI fluency to integrate LLM APIs and agentic frameworks into production services.
  • Participate in on call rotations.
  • Learn to lead work processes and design reviews.
  • Understand business metrics for the team and how your work connects to the team's roadmap.
Requirements
  • 2+ years of professional software engineering experience.
  • Hands-on experience working with LLMs or foundation model APIs (OpenAI, Anthropic, Google, etc.)
  • Some experience building or contributing to AI agents or agentic workflows.
  • Growing understanding of context for agents within token, latency, and cost constraints.
  • Exposure to evaluation or testing practices for LLM-based systems.
  • Solid CS fundamentals - data structures, algorithms, and object-oriented design.
  • Familiarity with modern agentic frameworks such as LangGraph, CrewAI, Semantic Kernel, etc.
  • Strong verbal and written communication skills.
Core Competencies

Demonstrates expertise in integrating LLM APIs and agentic frameworks into production services while understanding business metrics and contributing to team roadmaps. Proficient in software engineering principles with a focus on AI agents and context engineering.

Highest-signal resume keywords
  • LLM API Integration
  • Agentic Frameworks
  • Software Engineering Experience
  • Data Structures and Algorithms
  • Communication Skills
ATS Optimization Keywords Hard Skills
  • Software Engineering
  • AI Agents
  • Context Engineering
  • Data Structures
  • Algorithms
  • Object-Oriented Design
  • Evaluation Practices
  • Testing Practices
Soft Skills
  • Verbal Communication
  • Written Communication
Industry Keywords
  • Agentic Workflows
  • Business Metrics
  • On Call Rotations
Tools & Technologies
  • OpenAI
  • Anthropic
  • Google
  • LangGraph
  • CrewAI
  • Semantic Kernel
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