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Ai Programmer Jobs in California (NOW HIRING)

Eloquent AI

AI Engineer, Multimodal LLMs

San Francisco, CA · On-site

$93K - $124K/yr

Your Role As an AI Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You'll work directly ...

Hippocratic AI

Staff AI Engineer

Menlo Park, CA · On-site

About the Role As a Staff AI Engineer at Hippocratic AI, you'll set the technical direction for voice-based generative AI in healthcare. You'll architect the intelligent systems that power our ...

Eloquent AI

AI Engineer, Platform

San Francisco, CA · On-site

As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You'll work across the ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

Your Role As an AI Agent Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You'll work ...

NinjaTech AI

Applied AI Engineer

San Francisco, CA · On-site

$80K - $120K/yr

The Applied AI Engineer is how a signed contract becomes a renewed and expanded one. What you'll own * Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their ...

1Sphere AI

AI Engineer

Oakland, CA · On-site

The AI Engineer role focuses on mastering Claude Code, building AI orchestration patterns, and refining the architecture for real-time decision-making in AI systems. Responsibilities : • Become the ...

OSI Engineering, Inc.

Senior AI Engineer

Cupertino, CA · On-site

$58 - $68/hr

Senior AI Engineer We are seeking a Senior AI Engineer to build internal AI systems and conversational intelligence tools in a fast-paced, collaborative environment. This role focuses on developing ...

AI Fund

AI Engineer

Mountain View, CA · On-site

They are looking for an AI Engineer to work in their Learning Experience Lab, where the role involves developing new AI products and features to enhance educational experiences. Responsibilities ...

Numos AI

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 finance. You'll develop systems that go beyond copilots and actually execute work, combining reasoning ...

Actava.ai, Inc.

Lead AI Engineer

Pleasanton, CA · On-site

$215K - $240K/yr

Actava.ai, Inc. seeks a Lead AI Engineer (LAIE-2601) in Pleasanton, CA to design, develop, & implement AI and s/w systems to support enterprise-level applications. Reqs Bachelor's degree or foreign ...

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All JobsAi Programmer JobsAi Programmer Jobs in California

Ai Programmer information

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$11

$39

$67

How much do ai programmer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for ai programmer in California is $39.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $50.77 per hour, depending on experience, location, and employer.

What does an AI Programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

Which 3 jobs will survive AI?

AI programmers, healthcare professionals, and skilled tradespeople are expected to continue thriving as their roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve creativity, emotional intelligence, or physical tasks, making them more resilient to automation. Continuous learning and adapting to new tools can further enhance job security in these fields.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific programming languages may command higher salaries.

What are the key skills and qualifications needed to thrive in the Ai Programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

How can I become an AI programmer?

To become an AI programmer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in mathematics, particularly linear algebra and statistics. Earning a relevant degree in computer science, data science, or related fields and gaining practical experience through projects or internships are also important steps.

What does a typical workday look like for an AI Programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

What are the most commonly searched types of Ai Programmer jobs in California? The most popular types of Ai Programmer jobs in California are:
What are popular job titles related to Ai Programmer jobs in California? For Ai Programmer jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Programmer jobs in California look for? The top searched job categories for Ai Programmer jobs in California are:
What cities in California are hiring for Ai Programmer jobs? Cities in California with the most Ai Programmer job openings:
Ai Programmer jobs near you
Infographic showing various Ai Programmer job openings in California as of July 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $81,158 per year, or $39 per hour.

Eloquent AI Fellowship Program

Eloquent AI

San Francisco, CA • On-site

Full-time

Posted 9 days ago

Job description

Meet Eloquent AI
At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments.
We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.
Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.
Accelerate Your AI Career at Eloquent AI
The Eloquent AI Fellowship is a high-impact, hands-on program designed for STEM PhDs, post-docs, and early-career AI researchers looking to transition into the world of applied AI. If you're eager to develop, deploy, and optimize AI agents while gaining real-world experience in enterprise AI applications, this program is for you.
Through a structured, immersive experience, you'll work alongside AI engineers, product managers, and researchers, gaining exposure to AI model development, MLOps, and conversational AI systems. You'll leave the program ready to take on leadership roles in AI product development, engineering, or research.
You'll also have the opportunity to collaborate with Prof. Aldo Lipani, Eloquent AI co-founder, whose pioneering research has advanced fine-tuning, evaluation methods, and simulators for LLMs. You'll work on research projects involving AI evaluation, model robustness, and scalable testing frameworks-scientifically measuring, reproducing, and optimizing AI performance.
Program Structure
The Eloquent AI Fellowship is a 12-week rotational program providing in-depth exposure to AI engineering, applied ML, and AI-driven product management.
AI Engineering (6 weeks): Work on training, fine-tuning, and deploying AI agents that power enterprise-grade conversations. Gain hands-on experience in LLMs, RAG pipelines, prompt engineering, and inference optimization.
AI Product Development (4 weeks): Collaborate with AI product teams to design, iterate, and integrate AI solutions into enterprise applications. Learn how to bridge the gap between cutting-edge AI research and real-world impact.
Industry Applications & Capstone (2 weeks): Apply what you've learned in a real-world AI project, working with Eloquent AI's product, engineering, and research teams to solve enterprise challenges.
You'll be mentored by top AI practitioners and receive exclusive access to industry-leading resources, including AI speaker series, hands-on workshops, and networking with enterprise AI leaders.
You will:
  • Develop and deploy AI-powered agents, working with LLMs, RAG, and enterprise automation workflows.
  • Gain hands-on experience in AI infrastructure, including LLMOps, MLOps, cloud deployment, and model optimization.
  • Work on full-stack AI applications, collaborating with engineers and PMs to build scalable AI-driven products.
  • Translate AI research into practical applications, integrating the latest advances in language models, embeddings, and retrieval techniques.
  • Work directly with Eloquent AI's leadership, learning from top AI engineers and product innovators.
Requirements
This program is open to postdocs, current or recently graduated PhDs, and MSc students in STEM fields with a strong interest in AI applications.
  • Current or completed PhD or MSc degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
  • Strong mathematical foundation, particularly in statistics, linear algebra, and optimization techniques.
  • Programming experience, ideally in Python, with familiarity in ML frameworks like PyTorch and TensorFlow.
  • Interest in AI product development, data science, or machine learning engineering.
  • Ability to work in a fast-paced, collaborative AI-driven environment.

Bonus Points If...
  • You have experience with LLMs, NLP, or Retrieval-Augmented Generation (RAG).
  • You've contributed to open-source AI projects or published research in AI/ML conferences (NeurIPS, ICML, ICLR, NLP, SIGIR, etc.).
  • You have hands-on experience with LLMOps, MLOps, cloud-based AI infrastructure, or AI deployment at scale.
  • You have experience in AI strategy, product management, or business applications of AI.

Apply