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Langgraph Jobs in Oregon (NOW HIRING)

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

Senior Staff AI Platform Engineer

OR · On-site +1

$104K - $143K/yr

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 ...

Redapt

Forward Deployed Engineer, Agentic AI

OR · On-site +1

LangGraph / LangChain / CrewAI (Preferred) * MLOps / LLMOps (Preferred) * MCP (Model Context Protocol) (Preferred) Travel required: * Travel typically 5% or less a year Equal Employment Opportunity:

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 ...

Deloitte

Oracle Gen AI Manager

Portland, OR · 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 ...

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

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 ...

HiddenLayer

Lead Engineer, AI Attack Simulation

Portland, OR · On-site +1

$108K - $143K/yr

Experience with agent orchestration technologies such as OpenAI Agents SDK, LangGraph, AutoGen, or equivalent custom systems. * Experience developing evaluation datasets, graders, traces, and ...

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 ...

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.

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.

Hatch IT

Senior AI Platforms Engineer

OR · On-site +1

$104K - $143K/yr

Hands-on experience designing and building agent orchestration and LLM workflows (custom or framework-based); hands-on experience with frameworks such as LangGraph, LangChain, CrewAI, or Strands is ...

phData

Solutions Architect

OR · On-site +1

$63 - $83/hr

Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

EM Key Solutions Inc

Temporary 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 • ...

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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.

Data Scientist / Engineer (Healthcare Payment Integrity)

Shift Technology

OR • On-site, Remote

Full-time

Re-posted 2 days ago

Job description

About the Team

  • This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.
  • Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.
  • Our company is small enough that each person's achievements have an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.
  • As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.

Key Responsibilities

  • Your role will be to actively contribute to the US Health roadmap and clients, and working on various data types such as structured claims data, free text, documents and images. 
  • Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.
  • Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for claims handling, document understanding, and related use cases.
  • Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of payment integrity solutions.
  • Create custom "tools" for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data.
  • Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent's decisions are unbiased, legally sound, and explainable.
  • Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance.
  • Lead client workshops, present prototypes, gather feedback and help define roadmap priorities.

WHAT WE ARE LOOKING FOR

We are looking for candidates with 3+ years of Data Science and Healthcare Insurance Payment Integrity experience with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:

  • Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems.
  • Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning), leveraging frameworks such as OpenAI/Anthropic or open-source variants.
  • Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments.
  • Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows.
  • Agentic Frameworks: Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models (e.g., DBRX, OpenAI GPT-5.3, Anthropic Claude, Google Gemini).
  • Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations.

Highly Desired Skills

  • Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML), Unity Catalog, and Delta Lake.  Good understanding of Spark data architecture is a plus.
  • Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation.

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