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Agentic Developers Jobs in California (NOW HIRING)

Port

Agentic Engineering Evangelist

Palo Alto, CA · On-site +1

$190K - $260K/yr

Agentic-SDLC Evangelist Port is growing fast, and we are looking for a Technical Video Creator ... Through short-form video content, you will show developers, DevOps teams, and platform engineers ...

Lendistry

Sr AI/Agentic Engineer

Santa Clara, CA · Hybrid

$122K - $168K/yr

You will work directly with the VP Organizational Intelligence, the AI team lead, and the Senior Staff Engineer, AI. You will lead the day-to-day delivery of agentic workflows, document intelligence ...

Lendistry

Sr AI/Agentic Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

You will work directly with the VP Organizational Intelligence, the AI team lead, and the Senior Staff Engineer, AI. You will lead the day-to-day delivery of agentic workflows, document intelligence ...

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Agentic Developers information

Is agentic AI going to replace developers?

Agentic AI refers to systems capable of autonomous decision-making, which can assist developers by automating routine tasks and code generation. However, it is unlikely to fully replace developers, as human oversight, creativity, and problem-solving remain essential in software development. Developers will continue to adapt by working alongside AI tools and focusing on complex, strategic aspects of their work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working in competitive tech environments, with compensation reflecting expertise and experience.

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

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is an agentic developer?

An agentic developer is a software developer who takes initiative and responsibility for their work, often demonstrating autonomy and proactive problem-solving. They are skilled in coding, collaboration, and may use tools like version control systems to manage projects effectively.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do Agentic Developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

Are agentic AI developers in demand?

Agentic AI developers are in high demand as organizations seek professionals skilled in designing autonomous and adaptive AI systems. The role typically requires expertise in machine learning, programming, and AI frameworks, with job growth driven by increasing adoption of intelligent automation across industries.

What are agentic developers?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
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Agentic Developers jobs near you
Senior Agentic DevOps Engineer - Runtime Validation & Governance

Senior Agentic DevOps Engineer - Runtime Validation & Governance

Keysight Technologies, Inc.

Calabasas, CA • On-site

$110K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

41st of 142 rated electronics manufacturers

Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
About the Initiative
Keysight's Applied AI Autonomy Initiative is developing a next-generation agentic orchestration framework that enables AI agents to reason, adapt, and coordinate across complex engineering workflows. Built on LangGraph and reinforcement-inspired feedback mechanisms, this framework transforms prompts and design intents into executable orchestration strategies that evolve autonomously through iterative simulation and validation loops.
Our ambition is not merely to replicate human reasoning, but to push past human limits - enabling agentic systems to explore design spaces, optimize engineering workflows, and evolve orchestration strategies at a scale and speed no human could achieve.
To make this possible, it will require robust runtime governance and regression intelligence layer - one that ensures every autonomous action is verified, reversible, traceable, and safe before it influences live engineering systems.
This role defines that layer: the bridge between autonomy and operational trust, enabling production-scale AI-driven orchestration with assurance and auditability.
What This Role Offers - Optimized for Agentic DevOps
  • A foundational and highly visible role shaping how AI-generated orchestration earns operational trust across Keysight's engineering ecosystem.
  • The mandate to define the validation, governance, and assurance standards that determine when and how autonomous agent logic may safely enter production.
  • Ownership of the mission-critical regression and verification pipeline, where agent actions, simulation feedback, and safety controls converge - enabling autonomy that is explainable, reversible, measurable, and audit-ready.

Responsibilities
Role Overview
As the Senior Agentic DevOps Engineer, you will architect and implement the runtime validation, control, and feedback systems that govern how agent-generated logic is tested, verified, and promoted into production.
This is not classical DevOps or CI/CD - it is Agentic DevOps: embedding intelligent agents into the deployment fabric with guardrails, feedback loops, rollback capabilities, and telemetry built into every stage.
Your mission is to enable a self-aware orchestration pipeline where agents can act, learn, adapt, and be safely governed, delivering predictable, and stable outcomes across dynamic, high-assurance environments.
Core Engineering Domains
  1. Execution Integrity Architecture
  • Design sandboxed and containerized evaluation zones for testing agent-generated logic prior to deployment.
  • Build a multi-stage release pipeline spanning sandbox • validation • gated staging • monitored execution.
  • Define and enforce isolation and containment protocols to prevent propagation of unsafe or misconfigured agent actions.
  • Establish runtime health scoring, confidence thresholds, and promotion gates to control when an agent's output can advance to production.
  1. Regression Intelligence & Continuous Verification
  • Develop regression and validation frameworks tailored for agentic orchestrations to detect drift, instability, or emergent behaviors.
  • Implement baseline comparison and differential validation systems to continuously verify agent outputs against expected outcomes.
  • Construct autonomous CI/CD pipelines integrating both neural (agent-generated) and traditional (human-written) logic with versioning and reproducibility guarantees.
  • Provide predictable replay and audit mechanisms to re-execute orchestration cycles for debugging, validation, and compliance.
  1. Observability, Governance & Rollback
  • Engineer always-on telemetry and introspection pipelines capturing every agent decision, validation result, and anomaly.
  • Develop snapshot and rollback frameworks enabling rapid restoration to verified system states.
  • Ensure end-to-end traceability of all orchestration artifacts, mapping which agent produced what output, with what data and under what conditions.
  • Surface trust metrics, validation outcomes, and confidence scores through operator dashboards and governance APIs in collaboration with Dev/UI teams.

Key Responsibilities
  • Lead the definition and implementation of validation, governance, and regression standards across Keysight's agentic orchestration runtime.
  • Architect and deploy a continuous validation pipeline integrating feedback loops, guardrails, telemetry, and rollback systems.
  • Build self-diagnosing runtime logic that enables agents and infrastructure to detect, contain, and recover from instability autonomously.
  • Define and maintain safety certification, auditability, and reproducibility frameworks for agent-generated actions in production.
  • Collaborate with framework architects, safety engineers, ML researchers, and data intelligence teams to align validation infrastructure with orchestration and learning feedback systems.

Qualifications
Required Qualifications
  • PhD or 5+ years of experience in systems engineering, runtime validation, safety-critical infrastructure, or high-assurance deployment frameworks.
  • Proficiency with CI/CD systems (e.g., Jenkins, GitLab CI, GitHub Actions, or ArgoCD) for automation, validation, and controlled deployments.
  • Proven experience designing sandboxed execution environments, controlled-release and CI/CD pipelines, or validated deployment systems at production scale.
  • Strong proficiency in Python and C/C++, with expertise in sandbox architecture, promotion control, and rollback mechanisms.
  • Demonstrated ability in regression governance, continuous verification, and telemetry-driven runtime monitoring.
  • Proficiency with agentic AI frameworks (e.g., LangGraph, LangChain) and validation mechanisms for multi-agent orchestration and reasoning stability.

Preferred Qualifications
  • Experience with simulation orchestration, HPC systems, or digital-twin environments feeding live feedback into control loops.
  • Knowledge of differential validation, golden-run comparison, confidence-scored promotion models, and structured evaluation frameworks.
  • Background in governance frameworks for machine-generated logic or autonomous systems (e.g., AI or robotics).

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
CA pay range: MIN $156,740- MAX $261,230
Note: For other locations, pay ranges will vary by region
This role is eligible for our Keysight Results Bonus Program
US Employees may be eligible for the following benefits:
  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)
  • Restricted Stock Units

Careers Privacy Statement
Keysight is an Equal Opportunity Employer
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

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