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Agentic Ai Jobs in San Ramon, CA (NOW HIRING)

Clera

Staff Engineer - Agentic AI

San Francisco, CA · On-site

$160K - $250K/yr

About the Role A well-funded, early-stage AI startup in the mechanical engineering software space is looking for a Staff Engineer -- Agentic AI to own the core agent intelligence layer that turns ...

Clera

Staff Engineer - Agentic AI

San Francisco, CA · On-site

$160K - $250K/yr

About the Role A well-funded, early-stage AI startup in the mechanical engineering software space is looking for a Staff Engineer - Agentic AI to own the core agent intelligence layer that turns ...

CYNET SYSTEMS

Agentic AI Developer

San Jose, CA · On-site

$55 - $60/hr

... agentic workflows, reasoning tasks, and tool-calling. * Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP), and agent design in Vertex AI. * Strong understanding of cloud ...

Adobe

Senior Agentic AI Engineer

San Jose, CA · On-site

$122K - $168K/yr

In this role,you'llhelp shape the future of Adobe's next-generation agentic AI strategy by building the agentic harness platform that powers Adobe's agentic products and workflows.You'lltake on ...

EchoStar

Manager, Agentic AI Engineering

San Mateo, CA · On-site

$153K - $208K/yr

EchoStar is seeking a strategic and visionary Manager of Agentic AI Engineering to lead advanced multi-agent and generative AI initiatives. This leadership position oversees the transition from ...

Getclera

Staff Engineer -- Agentic AI

San Francisco, CA · On-site

$180 - $240/hr

... agentic AI, user research, and product delivery and will determine the product's real-world value to enterprise customers. What you'll do * Lead development of the core agent intelligence layer that ...

New

EchoStar

Manager, Agentic AI Engineering

San Mateo, CA · On-site

$153K - $208K/yr

EchoStar is seeking a strategic and visionary Manager of Agentic AI Engineering to lead advanced multi-agent and generative AI initiatives. This leadership position oversees the transition from ...

EchoStar

Manager, Agentic AI Engineering

San Mateo, CA · On-site

$153K - $208K/yr

EchoStar is seeking a strategic and visionary Manager of Agentic AI Engineering to lead advanced multi-agent and generative AI initiatives. This leadership position oversees the transition from ...

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Showing results 21-40

All JobsAgentic Ai JobsAgentic Ai Jobs in San Ramon, CA

Agentic Ai information

See San Ramon, CA salary details

$39

$73

$130

How much do agentic ai jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for agentic ai in San Ramon, CA is $73.50, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $111.73 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

What job categories do people searching Agentic Ai jobs in San Ramon, CA look for?

The top searched job categories for Agentic Ai jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Agentic Ai jobs?

Cities near San Ramon, CA with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in San Ramon, CA as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $152,887 per year, or $73.5 per hour.

GenAI Engineer / Agentic AI Engineer

Mindlance

Concord, CA • On-site

Other

Posted 4 days ago

Job description

Role: Sr. Specialty Software Engineer – GenAI Engineer / Agentic AI Engineer
Contract Type: [W2 Contract]
Industry: Direct client, Banking domain  

Location: Concord, CA Hybrid
Work Arrangement: Hybrid – 3 days onsite (Monday, Wednesday, Thursday preferred)
Contract: 12+ months, with potential extension

Position Overview

We are seeking a hands-on Specialty Software Engineer with strong Python development skills and practical experience in Generative AI / Agentic AI to join a high-visibility Marketing Technology (MarTech) initiative.

The team is building a greenfield Agentic AI platform designed to enable personalized customer offers and intelligent campaign orchestration. The platform will leverage multiple specialized AI agents that work together to determine customer eligibility, select appropriate offers, determine when offers should be presented, and orchestrate campaign workflows.

This is a hands-on engineering role focused on building new AI capabilities and taking them toward production. The ideal candidate is a strong Python engineer first, with practical GenAI/LLM and Agentic AI experience layered on top.

Key Responsibilities

  • Design, develop, and maintain production-quality Python services and components supporting AI/agent workflows.
  • Build and enhance LLM-powered AI agents for business and customer engagement use cases.
  • Develop and integrate multi-agent workflows, including agent-to-agent communication and orchestration.
  • Design reusabhi le and scalable components for agent lifecycle management, coordination, and execution.
  • Integrate LLM capabilities through APIs and internal AI platforms.
  • Apply prompt engineering techniques to improve agent accuracy, reliability, and task execution.
  • Work with vector databases and knowledge retrieval technologies to support RAG and agent-based applications.
  • Structure and organize data into effective knowledge layers/knowledge structures that can support LLM and agent workflows.
  • Implement AI guardrails and controls to ensure reliable, safe, and controlled agent execution.
  • Connect AI agents with backend services, data sources, workflows, and other enterprise systems.
  • Troubleshoot complex technical issues and independently make sound engineering decisions.
  • Evaluate AI-generated code and ensure that solutions meet production-quality engineering standards.
  • Leverage modern AI-assisted development tools such as Claude and similar tools while maintaining strong ownership of code quality and technical decisions.
  • Collaborate with engineering, data, product, and business teams to develop new AI-driven use cases.
  • Help move prototypes and agent capabilities from development into production-ready solutions.

Required Skills & Experience

Must Have

  • Strong hands-on Python development experience with the ability to write, understand, debug, and troubleshoot production code.
  • Practical experience developing Generative AI / LLM-based applications.
  • Hands-on experience building or contributing to AI agents / Agentic AI solutions.
  • Understanding of agent orchestration, agent workflows, and multi-agent architectures.
  • Experience integrating LLMs through APIs or AI platforms.
  • Strong understanding of prompt engineering and LLM application development.
  • Experience with vector databases and semantic retrieval.
  • Understanding of RAG/knowledge retrieval concepts and how data supports LLM applications.
  • Experience implementing or understanding AI guardrails, controls, and responsible AI practices.
  • Strong problem-solving, debugging, system design, and software engineering skills.

Preferred Skills

  • Experience building multi-agent systems or agent-to-agent communication.
  • Experience with knowledge graphs, knowledge layers, or structured knowledge systems.
  • Experience with workflow orchestration and event-driven architectures.
  • Experience deploying AI applications on OpenShift/OCP, Google Cloud Platform, AWS, Azure, or other cloud platforms.
  • Experience with Agentic AI frameworks such as LangGraph, LangChain, Google ADK, AutoGen, CrewAI, or similar.
  • Experience with vector technologies such as Pinecone, FAISS, Weaviate, Chroma, Milvus, or similar.
  • Experience working in Marketing Technology, campaign orchestration, customer engagement, or financial services.
  • Familiarity with modern AI-assisted software development tools such as Claude, GitHub Copilot, or similar.
Mindlance logo

About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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