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Entry Level Ai Agent Developer Jobs in California

AI Agent Researcher

San Francisco, CA · On-site

$160K - $320K/yr

We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, ... Agent Research Engineer, you will help advance the highest levels of the tech stack to imbue AI ...

Software Engineer, AI Agent

San Jose, CA · On-site

$156K - $316K/yr

... of software engineering experience in the internet industry, with strong CS fundamentals (data structures, algorithms, OS, networking) - Deep understanding of AI Agent architectures; hands-on ...

Sphere, starting with engineering and expanding into ops, customer success, tax research, and implementation workflows. WHAT YOU'LL DO Within days * Ship AI agent features that help Sphere ...

In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that ... Design and improve prompt engineering and context engineering workflows, including AI evaluation ...

In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that ... engineering workflows, including AI evaluation, debugging, and tuning for real-world product ...

In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that ... engineering workflows, including AI evaluation, debugging, and tuning for real-world product ...

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We're looking for a Senior AI engineer to build the core intelligence behind AI teammates for ... Familiarity with AI agent frameworks and orchestration patterns * Experience integrating AI into ...

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

As a US-side data engineer, you will participate in multi-source data ingestion, data lakehouse and warehouse development, data quality governance, data platform capability building, and AI Agent ...

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

As a US-side data engineer, you will participate in multi-source data ingestion, data lakehouse and warehouse development, data quality governance, data platform capability building, and AI Agent ...

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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:
Infographic showing various Entry Level Ai Agent Developer job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

AI Prompt & Agent Developer

OpenCall.ai (YC W24)

San Francisco, CA • On-site

Full-time

Posted 11 days ago


Job description

Job Summary:
Opencall is building AI call centers for non-technical businesses, aiming to enhance customer service experiences at enterprise scale. The AI Prompt & Agent Developer will design, test, and scale AI agents that improve customer interactions, working closely with various teams to align technology with business needs.
Responsibilities:
• Design, build, and refine prompts for real-world agent tasks (Q&A, classification, lead qualification, appointment booking, knowledge lookup).
• Develop robust evaluation pipelines to measure accuracy, reliability, compliance, and business outcomes of AI prompts at scale.
• Architect and implement multi-step AI agents that integrate with telephony (Twilio, SIP), CRMs, and customer systems.
• Ensure agents are reliable, scalable, and cost-optimized in high-volume environments.
• Lead QA workflows for AI agents, simulating real-world customer scenarios and measuring outcomes.
• Monitor production agent performance and iterate rapidly to improve.
• Work closely with product, ops, and engineering to design features driven by business needs.
• Partner with sales and customer success teams to translate client requirements into effective agent behavior.
Qualifications:
Required:
• 2+ years of experience with AI/ML, NLP, or prompt engineering.
• Demonstrated experience building and deploying AI prompts and/or agents in production.
• Strong analytical and problem-solving mindset; comfort with ambiguity.
• Excellent written and verbal communication skills.
• Bachelor’s degree in Computer Science, Engineering, Math, or related field.
Preferred:
• Strong programming skills in Python (experience with APIs, data pipelines, testing frameworks).
• Hands-on experience with multiple LLMs (GPT, Claude, LLaMA, Gemini, Mistral, or fine-tuned models).
• Familiarity with telephony platforms (e.g., Twilio) or conversational AI systems.
• Prior exposure to contact center, SaaS, or customer-facing technology.
• Master’s or PhD in a technical discipline is a plus.
Company:
Turn missed calls into customers. Even million-dollar call centers lose 10-30% of revenue to abandonment. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.