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Langgraph Jobs in Oregon (NOW HIRING)

Shift Technology

OR · Hybrid

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 ...

Alteryx

Lead Data Scientist

OR · Remote

Responsible for designing evaluation frameworks, testing methodologies, and telemetry analysis for agentic systems, with working knowledge of LangChain and LangGraph to support and enhance ...

Trimble, Inc.

Software Engineer

Lake Oswego, OR · On-site

LangGraph, Semantic Kernel, MCP protocol, Azure AI Foundry, RAG pipelines, prompt engineering * Cloud/data: Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode ...

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 ...

DataRobot

Senior AI Engineer - Professional Services

OR · Remote

$165K - $225K/yr

Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index * Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG ...

DataRobot

Senior AI Engineer - Professional Services

OR · Remote

$165K - $225K/yr

Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index * Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG ...

Trimble

Software Engineer

Lake Oswego, OR · On-site

LangGraph, Semantic Kernel, MCP protocol, Azure AI Foundry, RAG pipelines, prompt engineering * Cloud/data: Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode ...

Gruve

AI Vibe Coding Engineer

OR · Remote

$64K - $72K/yr

Exposure to LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks * Knowledge of Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) * Experience integrating enterprise systems with AI ...

Parachute Health

Engineering Manager, AI Intake

OR · On-site +1

$195K - $240K/yr

Familiarity with LangGraph, AutoGen, or other agent orchestration frameworks * Skill with AI powered coding tools (eg. Cursor) * Must reside in the U.S. Nice to have * Professional experience with ...

Quantiphi, Inc.

OR · On-site

Build and guide development of LLM applications, intelligent assistants, and AI copilots using LangChain, LangGraph, or similar orchestration frameworks . * Define architectures for vector search ...

Nvidia

OR · On-site

$63 - $83/hr

Experience with building advanced multi-agent systems, using libraries like LangGraph, LlamaIndex, CrewAI. * Ability to multitask effectively in a dynamic environment, as well as clear written and ...

Nvidia

OR · On-site

LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK or similar orchestration frameworks * Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.

Nvidia

OR · On-site

Experience working with agentic or multi-agent AI systems employing frameworks such as: 1. LangGraph 2. LlamaIndex 3. CrewAI 4. LangChain 5. OpenAI Agents SDK or similar orchestration frameworks

Nvidia

OR · Hybrid

Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus. NVIDIA is widely considered to be one of the technology world ...

Nvidia

OR · On-site

$122K - $161K/yr

Design and implement NVIDIA NIM connectors and Blueprint integrations into upstream agentic AI frameworks (e.g., LangGraph, LlamaIndex, AutoGen, CrewAI, Claude Agent SDK, OpenAI Agents SDK) * Build ...

Accelerated Connections

OR · On-site

Deploying and orchestrating agentic AI systems (e.g., LangChain, LangGraph) * Embedding security best practices across AI pipelines (secrets management, access control, encryption, audit logging)

Accelerated Connections

OR · On-site

Deploying and orchestrating agentic AI systems (e.g., LangChain, LangGraph) * Embedding security best practices across AI pipelines (secrets management, access control, encryption, audit logging)

Nvidia

OR · On-site

Experience with Agentic AI frameworks, tools, and protocols e.g., LangChain, LangGraph, MCP. * Understand Multimodal LLMs, VLMs, etc. * Experience in deploying LLM models at scale on mainstream cloud ...

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All JobsLanggraph JobsLanggraph Jobs in Oregon

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 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 June 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Data Scientist / Engineer (Healthcare Payment Integrity)

Shift Technology

OR • Hybrid

Other

Posted 16 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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