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Langgraph Jobs in Oregon (NOW HIRING)

Gruve

Full Stack Developer

OR · On-site +1

Build and deploy AI agents using LangGraph, MCP, or LangChain. * Develop RAG pipelines using instrument manuals and support knowledge bases. * Develop AI-powered engineering tools such as code ...

Particle41

AI Engineer

OR · On-site +1

LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas. * Work directly with clients to understand problem statements, translate business requirements into ...

SentinelOne

Staff AI Platform Engineer

OR · On-site +1

Build and maintain pieces of the Harness layer including agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state handling across multi-turn ...

Parachute Health

Staff Software Engineer, Applied AI

OR · On-site +1

$200K - $260K/yr

Has shipped reliable agentic LLM workflows to production, with any orchestration framework (LangGraph, LangChain, etc). * Experience evaluating and testing LLM workflows: eval harnesses, golden ...

Parachute Health

Engineering Manager, AI Intake

OR · On-site +1

$220K - $275K/yr

Familiarity with LangGraph, AutoGen, or other agent orchestration frameworks * Skill with AI powered coding tools (eg. Cursor) * Experience working cross-functionally to improve business process

LTS

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Experience building Agentic AI solutions using frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or comparable technologies. * Strong experience designing ...

LTS

AI Platform and Harness Engineer

OR · On-site +1

Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen. * Experience implementing LLMOps or MLOps platforms and deployment pipelines.

LTS

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

Experience with AI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar. * Experience with using AI coding assistants as part of your daily workflow.

Tebra

Staff Software Engineer, AI Engineering

OR · On-site +1

Practical experience with orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, CrewAI) and a deep understanding of RAG, tool calling, prompt engineering, context/state management, and ...

Nvidia

Senior Solutions Architect, Agentic AI

OR · On-site +1

Validated experience building sophisticated agentic and multi-agent AI systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK -including tool-using ...

HiddenLayer

AI Solutions Architect- Post-Sales

Portland, OR · On-site +1

$66.75 - $88/hr

Python programming experience required; familiarity with AI/ML workflows (LangChain, LangGraph, MLOps tools) is a plus. * Skilled at troubleshooting technical issues and guiding customers through ...

New

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • ...

Smarsh

Senior Software Engineer, Python + AI Platform

OR · On-site +1

$121K - $163K/yr

Familiarity with frameworks like LangGraph or equivalent. * AI-native engineering. Experience working on or alongside AI-native engineering teams, where AI agents are first-class participants in the ...

Nvidia

Developer Relations Manager - Omniverse

OR · On-site +1

NCP, LangGraph) and observability tools for monitoring sophisticated, autonomous systems Track record of influencing sophisticated product decisions through positive relationships while also ...

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All JobsLanggraph JobsLanggraph Jobs in Oregon

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 Oregon?

For Langgraph jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Langgraph jobs in Oregon look for?

The top searched job categories for Langgraph jobs in Oregon are:

What cities in Oregon are hiring for Langgraph jobs?

Cities in Oregon with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Oregon as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Full Stack Developer

OR • On-site, Remote

Gruve
See more jobs at Gruveexternal

Full-time

Re-posted 4 days ago

Job description

About the Role

We are seeking a Full Stack Developer to help build and modernize a remote instrument monitoring platform, transitioning from a legacy technology stack to a cloud-native environment powered by AWS ECS Fargate, React 19, .NET 8, Python, and GitHub Actions.

In this role, you will work across IoT connectivity, instrument applications, software packaging, AI agents, and cloud-based dashboards. You will have end-to-end ownership of a greenfield platform supporting hospitals and laboratories worldwide.

Key Responsibilities

  • Develop IoT and instrument connectivity solutions using MQTT, AMQP, and REST APIs.
  • Build lightweight Windows/Linux edge applications for telemetry and software update enforcement.
  • Integrate instrument protocols and support migration from legacy technologies.
  • Develop installer packages using MSI/NSIS for connected and air-gapped instrument environments.
  • Build delta-update mechanisms with rollback, version detection, and audit trails.
  • Integrate software packaging into GitHub Actions CI/CD pipelines in alignment with IEC 62304 requirements.
  • Build and deploy AI agents using LangGraph, MCP, or LangChain.
  • Develop RAG pipelines using instrument manuals and support knowledge bases.
  • Develop AI-powered engineering tools such as code-generation tools, PR bots, and test scaffolding.
  • Build React 19 user interfaces for dashboards, alerts, consumable tracking, and update status.
  • Develop backend services using .NET 8/C#, Python/FastAPI, REST APIs, and event-driven microservices.
  • Create automated unit, integration, and end-to-end tests for regulated software releases.
  • Collaborate across cloud, IoT, AI, software engineering, and DevOps initiatives.

Basic Qualifications

  • 2-5 years of experience developing and shipping production software.
  • Strong experience with React and TypeScript.
  • Experience with .NET/C# or Python backend development.
  • Experience with IoT protocols such as MQTT or AMQP, or with edge software integration.
  • Experience with software packaging, installers, containers, or software update agents.
  • Experience using AI development tools such as Cursor, GitHub Copilot, or Claude Code.
  • Familiarity with CI/CD tools and practices, preferably GitHub Actions or equivalent.
  • Bachelor's or Master's degree in Computer Science, Biomedical Engineering, or an equivalent field.

Preferred Qualifications

  • Experience developing medical device software or working with IEC 62304, IVD, or FDA CFR 21 requirements.
  • Hands-on experience deploying production AI agents using LangGraph or MCP.
  • Experience with AWS ECS Fargate, Terraform, or Infrastructure as Code (IaC).
  • Experience with AngularJS, VB6, or TFS, particularly in the context of legacy-system modernization.
  • Experience handling HIPAA-adjacent data and maintaining audit trails.
  • Experience with Docker and OCI containers.
  • Experience with AWS services such as S3, SQS, and CloudWatch.
  • Familiarity with GraphQL, Next.js, TailwindCSS, FastAPI, or event-driven microservices.

This position is being hired for a customer of Gruve.

  • Corp-to-Corp contractor arrangement

Please note that Gruve does not provide visa sponsorship for this role. 

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