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Langgraph Jobs in Bothell, WA (NOW HIRING)

Amazon

Senior Software Engineer, AWS Agentic AI

Bellevue, WA

$138K - $182K/yr

... LangGraph, Strands) to integrate and optimize agent runtime capabilities Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access ...

Amazon

Senior Software Engineer, AWS Agentic AI

Bellevue, WA · On-site

$138K - $182K/yr

... LangGraph, Strands) to integrate and optimize agent runtime capabilities Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access ...

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 ...

LVT

Staff ML/LLM Ops Engineer

Seattle, WA · On-site

$213K - $272K/yr

LangGraph, MCP frameworks, vector databases, and inference/serving platforms. COMPENSATION The beginning annual salary range for this role is $213,300 - $272,000 USD and is determined by location ...

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 ...

Amazon

Senior Software Engineer, AWS Agentic AI

Bellevue, WA · On-site

$138K - $182K/yr

... LangGraph, Strands) to integrate and optimize agent runtime capabilities • Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account ...

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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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 are popular job titles related to Langgraph jobs in Bothell, WA? For Langgraph jobs in Bothell, WA, the most frequently searched job titles are:
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, AWS Agentic AI

Senior Software Engineer, AWS Agentic AI

Amazon

Bellevue, WA

$138K - $182K/yr

Full-time

Re-posted 5 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,968 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

In this role, you will build new or enhance existing Bedrock AgentCore services that are going to be trend setting in the Agentic AI field. This is an area that requires solving the hardest engineering challenges to enable machine learning powered solutions for our customers. As a tier one Amazon service our solutions have to be scalable, efficient, and fault tolerant.

Experience with machine learning systems is preferred, but not required. You will deliver some of our most strategic technical projects, deliver large scalable systems, design new software systems at the cutting edge of distributed database technology and have a significant bottom-line impact on our business and competitive position. In addition to delivering critical software, you will draw from a deep and broad technical expertise to mentor engineers and provide leadership on complex technical issues.

This position within the AWS AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical and software expertise, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
Key job responsibilities
Design and implement core infrastructure components including control plane APIs, data plane execution environments, and deployment orchestration systems
Optimize agent invocation latency, cold start performance, and resource utilization across Lambda Sandbox, Snapstart, and custom compute platforms
Develop monitoring, observability, and operational tooling to ensure production reliability and enable rapid incident response
Collaborate with AWS Lambda, Bedrock, and open-source framework teams (LangChain, LangGraph, Strands) to integrate and optimize agent runtime capabilities
Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access, and security integrations
Mentor junior engineers and drive engineering excellence through code reviews, design reviews, and operational best practices
A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion

We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
About the team
Our team puts a high value on work-life harmony

It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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