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Entry Level Ai Agent Developer Jobs in California

Sierra

Software Engineer, Agent

San Francisco, CA · On-site

Job Summary : Sierra is a company focused on creating AI-driven customer experiences. They are seeking a Software Engineer to design and deliver production-grade AI agents, drive the Agent ...

Kaizen Stackup

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Full-time Agent Engineer About Us We're at the forefront of developing cutting-edge AI-powered agent systems that are revolutionizing how businesses interact with their customers and manage their ...

Apple

ML Agent Engineer

San Francisco, CA · On-site

We're seeking research engineers to build systems for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality agent ...

New

Reducto

Agent Experience Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Preferred : • Have experience at an early-stage or high-growth startup. • Have built or maintained developer SDKs, CLIs, or API tooling. • Are familiar with the AI agent ecosystem -- MCP ...

Amigo AI

Applied AI Engineer

San Francisco, CA · On-site

$130K - $240K/yr

As an Applied AI Engineer, you own the technical delivery of real deployments end to end. You ... Designing and building an AI agent for a specific clinical workflow, from first prototype to ...

CYNET SYSTEMS

Python Developer

San Jose, CA · On-site

$65/hr

You will be responsible for creating high-performance APIs, integrating advanced AI agent logic ... engineering and AI. Core Responsibilities: * Scalable API Development: Design, build, and maintain ...

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Entry Level Ai Agent Developer information

What are Entry Level AI Agent Developers?

Entry Level AI Agent Developers are professionals who assist in designing, building, and maintaining artificial intelligence agents, such as chatbots or virtual assistants, often under the supervision of more experienced engineers. They typically work with programming languages like Python and use machine learning frameworks to help create intelligent systems that can interact with users or perform tasks autonomously. These roles are suited for those new to the field and often require a foundational understanding of AI concepts, basic coding skills, and a willingness to learn advanced topics on the job.

What are the key skills and qualifications needed to thrive as an Entry Level AI Agent Developer, and why are they important?

To thrive as an Entry Level AI Agent Developer, you need a solid understanding of programming languages (such as Python), basic machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), API integration, and version control systems (e.g., Git) is typically required. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are vital for building, maintaining, and improving AI agents in a collaborative and rapidly evolving tech environment.

What are some typical projects or tasks an Entry Level AI Agent Developer can expect to work on during their first year?

As an Entry Level AI Agent Developer, you can expect to work on tasks such as building and fine-tuning conversational AI agents, assisting with data preprocessing, and implementing basic machine learning models under the guidance of senior engineers. You’ll likely contribute to updating or troubleshooting existing AI agents, performing code reviews, and writing test cases. Collaboration with data scientists, UX designers, and product managers is common, giving you exposure to the full development lifecycle and valuable opportunities to learn from experienced colleagues.

What is the difference between Entry Level Ai Agent Developer vs Data Analyst?

AspectEntry Level Ai Agent DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare sectors
Employer & Industry UsageDeveloping AI agents, chatbots, automation toolsInterpreting data, creating reports, supporting decision-making

Entry Level Ai Agent Developers focus on creating and refining AI agents and chatbots, often requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, typically with statistical skills. While both roles involve data and technology, they serve different functions within organizations. The choice depends on your interest in AI development versus data interpretation.

What are the most commonly searched types of Ai Agent Developer jobs in California? The most popular types of Ai Agent Developer jobs in California are:
What are popular job titles related to Entry Level Ai Agent Developer jobs in California? For Entry Level Ai Agent Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Agent Developer jobs in California look for? The top searched job categories for Entry Level Ai Agent Developer jobs in California are:
What cities in California are hiring for Entry Level Ai Agent Developer jobs? Cities in California with the most Entry Level Ai Agent Developer job openings:
Entry Level Ai Agent Developer jobs near you
Infographic showing various Entry Level Ai Agent Developer job openings in California as of July 2026, with employment types broken down into 6% Internship, 85% Full Time, and 9% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.
Lead AI Product Engineer - AI Agents & Emerging Products

Lead AI Product Engineer - AI Agents & Emerging Products

System1

Los Angeles, CA • Remote

$110K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

System1 is building the next generation of AI Agent-powered consumer products, and we're looking for a Lead AI Product Engineer to help lead the effort. You'll design, build, and operate our most ambitious AI agent systems from early prototypes through production, owning core architecture, reliability, and performance as these products scale.

This is a high-impact, hands-on engineering role for a builder who can move quickly from concept to working systems, shipping, iterating, and hardening real agent workflows that deliver consumer value at scale.

This role sits at the intersection of multi-agent orchestration, agentic coding, and production engineering, offering the opportunity to work on cutting-edge AI while directly influencing real-world product outcomes and business performance.

You do not need prior experience with every protocol or framework listed below-we value strong systems thinking, production experience, and the ability to learn fast in emerging domains.
What You'll Do:
  • Build and operate multi-agent systems that plan, coordinate, and execute tasks across multiple tools and services, to solve real user problems at scale.
  • Implement agentic coding workflows, where agents generate code, run tests, create diffs or PRs, and iterate autonomously within guardrails.
  • Design agent orchestration layers (planners, supervisors, evaluators) to manage task decomposition, retries, and long-running execution.
  • Instrument and monitor agent behavior across success, failure, latency, cost, and human overrides, with exposure to agent-to-tool payment flows as the ecosystem evolves.
  • Collaborate with Product & Design to translate user problems into shippable agent workflows, iterating quickly based on real-world feedback.
What You'll Bring:
  • Strong experience building LLM-powered systems in production, including prompt engineering, structured outputs, tool/function calling, and agentic coding workflows where agents write, modify, and validate code within guardrails.
  • Solid backend engineering skills with Python and/or Node.js, designing APIs, async services, and background workers that support long-running, stateful agent workflows.
  • Experience designing multi-step, agent-driven execution loops (plan act evaluate retry), with explicit state management, idempotency, and failure recovery.
  • Comfort with distributed systems primitives (queues, pub/sub, durable state, rate limiting, concurrency controls) required to coordinate agents at scale.
  • Proven ability to instrument and observe agent behavior, emitting structured events for task success, failures, retries, overrides, and code-generation outcomes.
  • Experience deploying and operating systems on cloud infrastructure (AWS or GCP), using Docker and CI/CD pipelines.
  • Familiarity with inter-agent communication patterns, including message schemas, shared memory, blackboard systems, or event-driven coordination.
  • Experience implementing agent evaluation pipelines (prompt regression tests, simulation-based evals, automated scoring, human-in-the-loop review).
  • Understanding of cost-aware execution for agents (dynamic model routing, caching, batching, budget constraints).
  • Experience with RAG architectures, vector databases, and persistent memory strategies.
  • Exposure to emerging agent protocols (e.g., x402 payment flows, MCP), with the ability to implement evolving specs pragmatically.
Who You Are:
  • You operate with high urgency, agency, and a bias for action, translating ideas into working systems quickly, learning from real-world signals, and iterating continuously.
  • You pair speed with rigor, bringing strong engineering fundamentals (systems thinking, evaluation discipline, reliability) so each iteration is meaningfully better, not just different.
  • You embrace a "long is wrong" mindset, simplifying, automating, and removing bottlenecks to consistently reduce cycle time.
  • You think and act like an owner, making sound tradeoffs and taking end-to-end accountability for performance, reliability, cost, and user experience.
  • You optimize for technological leverage, building reusable primitives, tooling, and patterns that compound team output over time.
  • You are growth-minded, working backward from LTV/CAC and prioritizing engineering work that moves activation, retention, conversion, and cost per successful outcome.
  • You excel at constraint removal, unblocking execution and increasing innovation per unit time, including through agentic tool use with clear guardrails and observability.
What We Have To Offer:
  • Competitive salary + bonus + equity
  • Generous PTO + 11 company holidays
  • Open sick time
  • 100% covered Medical, Dental, Vision for employees
  • 401k with match
  • Health & Dependent Care Flex Spending Account 
  • Paid professional development
  • Leadership & growth opportunities
  • Virtual company and team building events
The U.S. base salary range for this full-time position is $161,800 - $242,700 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1's headquarters is located in Marina del Rey, CA with an additional office in Bellevue, WA.
Employees near office locations are returning to the office.


Equal Employment Opportunity:

System1 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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