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Langgraph Jobs in California (NOW HIRING)

LangChain, Inc

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 ...

Gyansys

Lead AI Engineer

Santa Clara, CA · On-site

$119K - $157K/yr

Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain. * Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.). * Guide ...

LangChain, Inc

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 ...

SmartIPlace

REQ :: AI Back End Engineers

Redwood City, CA · On-site

$90 - $100/hr

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

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All JobsLanggraph JobsLanggraph Jobs in California

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.

Hybrid - Senior AI Engineer -Irvine, CA- Fulltime

Ztek Consulting INC

Irvine, CA • On-site

$120K - $130K/yr

Full-time

Re-posted 4 days ago

Job description

Hello ,

This is Pankaj Pagare from Ztek Consulting INC (www.ztekinc.com) .

We do have a position for Senior AI Engineer

Please find the details below and if interested please send me your updated word format resume.

Job Title: Senior AI Engineer

Location: Irvine, CA(Hybrid)

Position Type: Fulltime

Experience Required:8+

 

Job Description

Must have Technical skills:

  • 5+ years of experience in software engineering, data engineering, or AI/ML engineering
  • Strong proficiency in Python for AI/data workflows and automation
  • Hands-on experience building solutions in AWS cloud environments
  • Experience with:
    • Databricks (or similar) and Apache Spark for distributed data processing
    • OpenSearch / Elasticsearch (including vector search)
    • Graph databases (Neptune or similar)
    • DynamoDB and Redis/ElastiCache
  • Experience building backend services and APIs (e.g., Java/Spring Boot, Node.js)
  • Production experience with Docker and Kubernetes
  • Experience with CI/CD pipelines and deployment automation
  • Strong understanding of distributed systems, data architecture, and scalable design

Preferred Qualifications

  • Experience with LLM/GenAI architectures (RAG, embeddings, prompt engineering)
  • Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks
  • Experience with LangChain or LlamaIndex
  • Experience implementing LLM evaluation and observability frameworks
  • Familiarity with AI security practices and threat models (prompt injection, guardrails)
  • Experience working in regulated environments with strong data governance and compliance requirements

Tech Stack

  • AWS: Neptune, OpenSearch, DynamoDB, ElastiCache (Redis), IAM, CloudWatch
  • Data: Databricks, Apache Spark
  • AI: LLM integrations, embeddings, vector search, RAG pipelines
  • Agentic/LLM Tooling: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI
  • Backend: APIs, microservices (e.g., Spring Boot, Node.js)
  • DevOps: Docker, Kubernetes, CI/CD, Infrastructure as Code

Thanks and Regards,
Pankaj Pagare
Ztek Consulting Inc.,        

Phone: 1 678-918-5069

E-mail: Pankaj@ztekinc.com

Visit us at www.ztek-inc.com