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Langgraph Jobs in Bothell, WA (NOW HIRING)

Compass

Senior Software Engineer I

Seattle, WA · On-site

$139K - $183K/yr

... LangGraph, AutoGen). • High Customer Empathy & Collaboration: Proven experience working closely with cross-functional stakeholders, non-technical partners, or product managers to scope, design, and ...

New

DigitalOcean

Principal Engineer, Managed Agents

Seattle, WA · Hybrid

$227K - $283K/yr

LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, or similar. * Patents, publications, or significant open-source work in agent systems, cloud infrastructure, or applied ML. Compensation Range ...

Saransh Inc

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

AI Agent & LLM Engineering • Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent. • Develop ...

Compass

Senior Software Engineer I

Seattle, WA

$149K - $166K/yr

... LangGraph, AutoGen). * High Customer Empathy & Collaboration: Proven experience working closely with cross-functional stakeholders, non-technical partners, or product managers to scope, design, and ...

New

Paradigm

Senior Applied AI Engineer

Seattle, WA · On-site

$127K - $187K/yr

Knowledge of agentic orchestration frameworks (e.g., LangGraph, Temporal, n8n, or similar) to design multi-step, tool-using AI systems. * Experience deploying and integrating AI models using ...

Referrals Only

Senior AI Engineer

Seattle, WA · Remote

$139K - $183K/yr

Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2). * Hands-on experience building and ...

Merican

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent. * Develop and operationalize RAG (Retrieval ...

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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
Senior Software Engineer I

Senior Software Engineer I

Compass

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Compass is revolutionizing the real estate industry with an end-to-end platform that empowers residential real estate agents. As a Senior Software Engineer on the Staff AI Enablement Team, you will drive Compass's enterprise AI strategy by designing and deploying automated workflows that bridge AI capabilities with business needs.
Responsibilities:
• Build Direct Business Integrations: Partner with departmental Subject Matter Experts (SMEs) to translate manual, high-volume operational tasks (e.g., transaction management, legal review, financial reconciliation) into robust, automated AI pipelines.
• Orchestrate Agentic Workflows: Implement advanced application-level AI patterns, including multi-agent orchestration, RAG pipelines, semantic document routers, and state-machine-driven automation.
• Utilize and Inform Platform Primitives: Build your integrations on top of our Tier 1 AI Platform APIs, providing continuous feedback loops to the Platform Team to help shape company-wide infrastructure and gateway design.
• Enforce Rigorous Security Compliance: Ensure all departmental integrations adhere to absolute data security and privacy standards, keeping sensitive company and customer PII strictly protected.
• Maintain Code Quality & Governance: Review code submissions, establish robust testing frameworks for LLM outputs, and ensure that our rapid execution model does not accumulate technical debt.
• Unblock and Mentor Engineers: Provide technical guidance to engineers within your dedicated pod, fostering a high-performing and inclusive engineering culture.
• Focus on Continuous Improvement: Design, monitor, and improve operational metrics and logging for your integrations to quickly troubleshoot, resolve defects, and optimize user experience.
Qualifications:
Required:
• Strong Application & Backend Engineering Background: 6+ years of professional software engineering experience, with a proven track record of designing, building, and operating production-grade web applications, API integrations, or business-critical backend services.
• Hands-on GenAI Experience: 1+ years of experience building applications utilizing LLMs, including familiarity with prompt engineering, RAG, vector databases, and popular orchestration frameworks (e.g., LangChain, LlamaIndex, LangGraph, AutoGen).
• High Customer Empathy & Collaboration: Proven experience working closely with cross-functional stakeholders, non-technical partners, or product managers to scope, design, and launch user-centric software solutions.
• Data Privacy & Security Mindset: A strong understanding of secure coding practices, API authentication (OAuth), and protocols for handling highly sensitive or regulated business data (PII, financial records).
• Distributed Systems & Integration Expertise: Solid experience with RESTful/GraphQL APIs, message brokers (e.g., Kafka, RabbitMQ), asynchronous job processing, and integrating third-party SaaS platforms.
• Cloud & DevOps Proficiency: Comfortable deploying and monitoring applications in AWS or similar cloud environments, utilizing Docker, CI/CD pipelines, and modern infrastructure observability tools.
• Pragmatic Problem Solver: Ability to make smart technical trade-offs, prioritizing immediate business value and operational stability over speculative, over-engineered architectures.
Company:
Compass is a real estate technology company that provides an online platform for buying, renting, and selling real estate assets. Founded in 2012, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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