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Langgraph Jobs in California (NOW HIRING)

Nastech Global

AI Engineer

Cupertino, CA · On-site

Hands-on experience with LangGraph for workflow orchestration * Expertise in building Retrieval-Augmented Generation (RAG) pipelines * Knowledge of semantic layers and knowledge graphs for structured ...

Relanto, Inc.

Full Stack AI Engineer

San Jose, CA · On-site

LangGraph or LangChain * AWS Bedrock, or an LLM gateway like Portkey * Elasticsearch * OpenFGA or similar fine-grained authorization * Experience evaluating non-deterministic systems Experience level ...

LangChain

GTM Engineer

San Francisco, CA · On-site

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 ...

Northern Base

AI Engineer

Santa Clara, CA · On-site

Hands-on experience with LangGraph, LangChain, Large Language Models (LLMs), and prompt engineering. * Experience architecting, designing, and deploying enterprise-grade AI applications. * Strong ...

Bayrock Labs

AI Engineer

Newark, CA · On-site

$80 - $90/hr

The ideal candidate will have deep expertise in Python , practical experience with LangGraph/LangChain for agent workflows, and proficiency in FastAPI for developing production-grade APIs. This role ...

Socket.dev

Senior AI Engineer

Irvine, CA · On-site

$90 - $150/hr

Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks * Experience with LangChain or LlamaIndex * Experience implementing LLM evaluation and observability frameworks

Purple Drive

AI Engineer / Lead AI Engineer

Santa Clara, CA · On-site

$120K - $158K/yr

Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering. * Experience architecting and deploying enterprise AI applications. * Familiarity with Azure AI Foundry, AWS Bedrock ...

LangChain

GTM Engineer

San Francisco, CA · On-site

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 ...

Trinity Technology Solutions

AI Engineer

San Jose, CA · On-site

Experience with agent frameworks such as Google ADK Langgraph CrewAI etc * Hands on experience in working with cloud AI services GCP Vertex AI Azure AI AWS Bedrock as well as managed large language ...

ClifyX

Senior Agentic AI Builder

San Jose, CA · On-site

$107K - $136K/yr

... LangGraph / LangChain - Hands-on experience building stateful, multi-step AI agent workflows with tool calling, checkpointing, and conditional routing • RAG - Practical experience implementing ...

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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 California? For Langgraph jobs in California, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in California look for? The top searched job categories for Langgraph jobs in California are:
What cities in California are hiring for Langgraph jobs? Cities in California with the most Langgraph job openings:
Langgraph jobs near you
Infographic showing various Langgraph job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Gen AI Lead - LangGraph Specialist

Symhas

Pleasanton, CA • On-site

Other

Re-posted 17 days ago

Job description

Gen AI Lead – LangGraph Specialist

We are looking for a seasoned Gen AI Lead with deep expertise in LangGraph to join our team in Pleasanton, CA. You will architect and lead the development of agentic AI systems using LangGraph, driving production-grade multi-agent workflows.

Key Responsibilities
  • Design and build complex stateful, multi-agent AI systems using LangGraph
  • Lead a team of AI/ML engineers in delivering Gen AI solutions
  • Define architecture patterns for graph-based agent orchestration
  • Collaborate with product and engineering teams to align AI solutions with business objectives
  • Establish best practices for LLM-powered agent development and deployment
  • Drive evaluation, fine-tuning, and observability strategies
Requirements
  • 10+ years of overall software/AI/ML engineering experience
  • 3+ years of hands-on experience with LangGraph or equivalent agent orchestration frameworks
  • Strong proficiency in Python and LLM APIs (OpenAI, Anthropic, etc.)
  • Experience building production multi-agent and stateful AI workflows
  • Excellent understanding of graph-based state machines and workflow orchestration
  • US Green Card or Citizenship required
  • Must be willing to work onsite in Pleasanton, CA