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Langgraph Jobs in Bothell, WA (NOW HIRING)

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 ...

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 ...

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 ...

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

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 ...

Sr. AI Engineer

Everett, WA · On-site

$115K - $158K/yr

Build and orchestrate AI agents using modern frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, n8n, or similar technologies. * Integrate AI capabilities into enterprise ...

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 ...

Sr. AI Engineer

Everett, WA

$115K - $158K/yr

Build and orchestrate AI agents using modern frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, n8n, or similar technologies. * Integrate AI capabilities into enterprise ...

Sr. AI Engineer

Everett, WA

$115K - $158K/yr

Build and orchestrate AI agents using modern frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, n8n, or similar technologies. * Integrate AI capabilities into enterprise ...

Showing results 41-60

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:

AI Engineer - Agentic AI Development - Contract - PST

Acunor Infotech

Seattle, WA • On-site

Other

Posted 5 days ago


Job description

AI Engineer Agentic AI Development

Location: Canada, US - PST timezone

Base Location: Seattle, WA
Work Arrangement: Hybrid preferred
Experience: 5 8 Years
Employment Type: Contract

Job Summary

We are seeking AI Engineers specializing in Agentic AI Development for one of our analytics clients, supporting a strategic AI initiative for a leading specialty retailer.

This is a highly hands-on engineering role focused on designing, building, evaluating, and deploying production-grade agentic AI systems that automate real-world business workflows. The ideal candidate will have strong software engineering fundamentals combined with recent hands-on experience developing agents, multi-agent systems, orchestration workflows, evaluation frameworks, and context-management solutions.

This is a high-visibility engagement requiring engineers who can independently take well-defined requirements through design, development, evaluation, and production deployment.

Key Responsibilities
  • Design and build production-grade AI agents and multi-agent orchestration systems.
  • Develop agent orchestration patterns, multi-agent coordination, tool integrations, and workflows.
  • Design and integrate tools used by agents, including MCP (Model Context Protocol) considerations where applicable.
  • Build programmatic agent evaluation frameworks covering metrics, offline/online evaluations, and failure-mode analysis.
  • Implement context engineering strategies including retrieval, context assembly, memory/state management, and context optimization.
  • Design solutions considering token limits, latency, reliability, and LLM cost constraints.
  • Develop production-ready code and own delivery across the full SDLC, including deployment.
  • Work independently from client-defined requirements while collaborating closely with engineering teams and stakeholders.
  • Contribute to engineering standards and GenAI development best practices across the broader team.
Required Skills & Experience

Software Engineering

  • 5 8 years of overall software engineering experience.
  • Strong experience building production-grade applications and owning solutions through deployment.
  • Solid understanding of software architecture, APIs, integrations, testing, and production engineering.

Agentic AI / Generative AI

  • Recent hands-on experience building and shipping agentic AI systems, ideally within the last 12 months.
  • Experience beyond prototypes, POCs, or prompt experimentation; candidates should have built functional agent workflows or production systems.
  • Strong understanding of modern foundation models and agentic architecture/design patterns.
  • Experience with agent orchestration, tool calling, multi-agent coordination, and MCP concepts.

Agent Evaluation

  • Practical experience designing and implementing agent/LLM evaluations.
  • Experience with programmatic metrics, offline and online evaluations, and failure-mode analysis.

Context Engineering

  • Hands-on experience with retrieval, context assembly, memory, and state management.
  • Understanding of context-window, latency, performance, and cost trade-offs in production LLM applications.

Frameworks

  • Experience with one or more agentic AI frameworks or SDKs such as LangGraph, AutoGen, CrewAI, Semantic Kernel, Claude Agent SDK, or OpenAI agent development tooling.
  • Ability to work framework-agnostically and apply transferable agentic architecture concepts.

Communication

  • Strong written and verbal communication skills.
  • Ability to operate independently from defined requirements and collaborate effectively with engineering and business stakeholders.
Nice to Have
  • Hands-on experience with Claude Agent SDK.
  • Experience with LLM cost management and optimization.
  • Strong stakeholder communication and requirements-translation skills.
  • Retail or E-commerce domain experience.
  • Experience working with customer journey, transaction, behavioral, or similar retail data.

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About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

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