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Langgraph Jobs in Berkeley, CA (NOW HIRING)

AI Agent Architect

San Francisco, CA · On-site

$180 - $240/hr

Full-time San Francisco USA Hybrid Senior $180k - $240k About the Role We are seeking a Senior AI Agent Architect to design and deploy autonomous, multi-agent systems using frameworks like LangGraph ...

Founding AI Engineer

San Francisco, CA · On-site

$140 - $190/hr

Build AI systems with LangGraph: Design, build, and maintain scalable AI systems with LangGraph and TypeScript to create automated marketing campaigns. * Design Data Backbone: Work on the data ...

Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. • Drive ...

Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. • Drive ...

GTM Engineer

San Francisco, CA · On-site

$160K - $180K/yr

Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. * Drive ...

Develop and orchestrate multi-agent systems using LangGraph and LangChain . * Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and ...

Develop and orchestrate multi-agent systems using LangGraph and LangChain . * Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and ...

Python OSS Engineer

San Francisco, CA · On-site

$160K - $240K/yr

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched ...

Vercel AI SDK, LangChain/LangGraph, Anthropic Agents, OpenAI tool calling, sandboxed runtimes. * Infra familiarity: Kubernetes, serverless, stream processing, feature stores, vector search. The Role ...

Preferred : • Expertise with LangChain or LangGraph. • Experience building or maintaining open source projects. • Background in applied AI research or agentic workflow development. • Based in ...

Java Fullstack Developer

San Francisco, CA · On-site

$61.75 - $79.75/hr

Hands-on experience with LangChain and/or LangGraph * Strong problem-solving skills with the ability to think outside the box and drive solutions to completion * Self-driven, with a strong get-it ...

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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 job categories do people searching Langgraph jobs in Berkeley, CA look for?

The top searched job categories for Langgraph jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Langgraph jobs?

Cities near Berkeley, CA with the most Langgraph job openings:

Infographic showing various Langgraph job openings in Berkeley, CA as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

AI Agent Architect

GenixBit Labs Pvt. Ltd.

San Francisco, CA • On-site

$180 - $240/hr

Other

Posted 5 days ago


Job description

Full-time San Francisco USA Hybrid Senior $180k - $240k

About the Role

We are seeking a Senior AI Agent Architect to design and deploy autonomous, multi-agent systems using frameworks like LangGraph, CrewAI, and Autogen. You will build resilient task-delegation networks and advanced cognitive loops for enterprise operations.

Key Responsibilities
  • Architect and build robust multi-agent systems and workflow coordination layers
  • Optimize prompting strategy, tool usage, and memory storage loops for autonomous agents
  • Integrate production LLMs with external enterprise databases and APIs
  • Define evaluations, safety guardrails, and reinforcement loops for agent tasks
Requirements
  • 5+ years of experience in AI, software engineering, or distributed systems
  • Proven track record of building and deploying multi-agent networks in productionDeep expertise with LangChain/LangGraph, LlamaIndex, or CrewAI
  • Strong knowledge of vector databases, embeddings, and context-window optimization
  • Python
  • LangGraph
  • CrewAI
  • Pinecone
  • OpenAI API
  • FastAPI
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