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Langgraph Jobs in Bothell, WA (NOW HIRING)

HCLTech

Gen AI Architect

Redmond, WA

Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI, LangChain, LangGraph. * Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP.

Purple Drive Technologies

GenAI Architect

Seattle, WA · On-site

$72.50 - $93.25/hr

LangChain/LangGraph, Crew AI, Semantic Kernel, OpenAI Agentic SDK * Programming & ML Libraries: * Python, SQL * TensorFlow, PyTorch, scikit-learn * Prompt Engineering: * Zero-shot, few-shot, chain-of ...

OfferUp

AI/ML Engineer

Bellevue, WA · On-site

$140K - $160K/yr

Work with agentic frameworks (LangChain, LangGraph), RAG architectures, and LLM APIs to solve real marketplace problems. * Production Ownership: You will build, ship, and own AI features end-to-end ...

TEEMA

AI Specialist

Seattle, WA · Remote

$90 - $120/hr

Research and build agentic AI workflows (using frameworks such as LangGraph, LangChain, or Copilot Studio) that evolve our systems toward autonomous, goal-oriented agents capable of handling complex ...

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 ...

Visa

Software Engineer - Sr. Consultant level

Bellevue, WA · Hybrid

$138K - $182K/yr

Develop orchestration and agentic workflows using LangChain, LangGraph, or Autogen. * Scalability & Reliability Lead the design and implementation of distributed, fault-tolerant systems that scale ...

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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Showing results 1-20

All JobsLanggraph JobsLanggraph Jobs in Bothell, 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 job categories do people searching Langgraph jobs in Bothell, WA look for? The top searched job categories for Langgraph jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Langgraph jobs? Cities near Bothell, WA with the most Langgraph job openings:
Langgraph jobs near you

Agentic Systems Architect (AI Engineering)

Hyphen Connect Limited

Seattle, WA

$276K/yr

Other

Posted 21 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.

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