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Agentic Jobs in California (NOW HIRING)

AI Developer - Agentic AI Location: San Jose, CA - Onsite Duration: 6-12 Months Contract Experience: 14+ Years Overall IT Experience Final Interview: Onsite in San Jose, CA Job Summary We are seeking ...

Agentic Workflows. We are looking for an innovative Agentic AI Engineer to join our team to build autonomous, enterprise-grounded agents that don't just answer questions-they complete complex ...

Agentic AI Engineer

San Francisco, CA · On-site

$200 - $250/hr

# Agentic AI EngineerBenchlingSan Francisco, United StatesPosted 8 Aug 2026Benchling is looking for a founding engineer to join their Intelligence Engineering & Enablement team to build agentic AI ...

Agentic AI Architecture & System Design: * Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems, encompassing agent lifecycle management ...

Agentic AI Architecture & System Design: * Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems, encompassing agent lifecycle management ...

About the Role We are looking for an Agentic Fullstack Engineer to design, build, and deploy AI-powered agentic systems on a modern Next.js and Laravel stack. You will bridge the gap between ...

AI Agentic Engineer

San Francisco, CA · On-site

$62 - $85/hr

What you'll do As an AI Agentic Engineer on the Platform AI Engineering team, you will drive the next wave of automation in IT operations by designing and deploying agentic AI solutions that ...

AI Agentic Engineer

San Francisco, CA · On-site

$150 - $200/hr

What you\'ll do As an AI Agentic Engineer on the Platform AI Engineering team, you will drive the next wave of automation in IT operations by designing and deploying agentic AI solutions that ...

Agentic Risk Analyst

San Francisco, CA · On-site

$288K - $425K/yr

About the Role As an Agentic Risk Analyst, you will shape OpenAI's operating picture for current agentic risk across products and platforms. You will bring a strategic, system-level perspective to ...

AI / Agentic Systems Engineer (Stealth Startup) Location: San Mateo, CA (In-Person / Hybrid) Compensation: Competitive Early Equity + Cash Team: Founded by Silicon Valley veterans (Ex-CTO @ FBN, Ex ...

Agentic AI/Python Engineer Location: Concord, CA (3days in hybrid) Duration: 12+ Months Contract Pay Rate: $70-80/hour Position Overview * We are seeking a Senior Agentic AI Engineer to join a ...

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Agentic information

What is the difference between Agentic vs Customer Service Representative?

AspectAgenticCustomer Service Representative
Required CredentialsTypically no formal credentials required, but strong communication skills preferredHigh school diploma or equivalent; sometimes additional training or certifications
Work EnvironmentCall centers, online platforms, or in-person settingsCall centers, retail stores, or corporate offices
Industry UsageCustomer support, sales, technical assistanceCustomer support, sales, client relations
Common Search/ComparisonAgentic vs Customer Service Representative

Agentic roles focus on proactive customer engagement and problem-solving, often requiring strong communication skills. Customer Service Representatives handle customer inquiries and support, usually with similar communication requirements but may involve more routine tasks. Both roles are vital in customer-facing industries, but Agentic positions often emphasize initiative and problem resolution.

What are popular job titles related to Agentic jobs in California?

For Agentic jobs in California, the most frequently searched job titles are:

What job categories do people searching Agentic jobs in California look for?

The top searched job categories for Agentic jobs in California are:

What cities in California are hiring for Agentic jobs?

Cities in California with the most Agentic job openings:

Infographic showing various Agentic job openings in California as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Agentic AI

EdgeAll

San Jose, CA • On-site

Other

Posted 6 days ago


Job description

AI Developer – Agentic AI

Location: San Jose, CA – Onsite
Duration: 6–12 Months Contract
Experience: 14+ Years Overall IT Experience
Final Interview: Onsite in San Jose, CA

Job Summary

We are seeking a highly experienced AI Developer with 14+ years of overall IT/software development experience and strong hands-on expertise in Python, Agentic AI, LangChain, and LangGraph. The ideal candidate will have extensive experience designing and developing AI agent-based systems, agentic workflows, and scalable AI/ML solutions using modern agent orchestration frameworks.

The candidate should be comfortable working in a 100% onsite environment in San Jose, CA and must be available for an onsite final interview.

Required Skills & Experience
  • 12+ years of overall IT/software development experience.
  • Expert-level proficiency in Python.
  • Strong hands-on experience with LangChain and LangGraph.
  • Extensive experience developing Agentic AI / AI Agent systems.
  • Hands-on experience with LlamaIndex, CrewAI, and AutoGen.
  • Strong understanding of AI/ML concepts, algorithms, models, and frameworks.
  • Experience with AI agent orchestration and multi-agent architectures.
  • Experience integrating AI solutions with AWS, Azure, or Google Cloud Platform.
  • Strong software development experience including:
    • Development
    • Unit/integration testing
    • Debugging and troubleshooting
    • Code reviews
    • Performance optimization
  • Experience designing scalable and production-ready AI applications.
  • Strong understanding of APIs, microservices, and cloud-based application integration.
  • Good communication and collaboration skills.
Key Responsibilities
  • Design and develop scalable AI agent-based applications and systems.
  • Build sophisticated Agentic AI workflows using LangChain, LangGraph, and related frameworks.
  • Develop and integrate autonomous AI agents for complex business use cases.
  • Implement multi-agent workflows and agent orchestration.
  • Integrate AI agents with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Work with LlamaIndex, CrewAI, AutoGen, and other emerging AI agent frameworks.
  • Optimize agent performance, reliability, scalability, and functionality.
  • Develop, test, debug, and maintain high-quality production code.
  • Participate in architecture discussions, technical design, and code reviews.
  • Collaborate with engineering, product, data, and other cross-functional teams.
  • Research and evaluate emerging Generative AI and Agentic AI technologies.
  • Translate business requirements into scalable AI-powered solutions.
Preferred Qualifications
  • Experience with LLMs, RAG, vector databases, embeddings, and prompt engineering.
  • Experience building multi-agent systems.
  • Knowledge of MCP (Model Context Protocol) and A2A (Agent2Agent) concepts.
  • Experience with REST APIs and cloud-native architectures.
  • Experience deploying AI applications into production environments.
  • Familiarity with Docker, Kubernetes, CI/CD, and DevOps practices is a plus.