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Ai Engineer Developer Jobs in California (NOW HIRING)

AI Engineer / Developer

Santa Clara, CA · On-site

$133K - $160K/yr

Job Title AI Engineer / Developer Role Overview We are looking for an AI Data Engineer / Developer to design, build, and maintain scalable data pipelines and AI-ready data systems that power machine ...

Configure AI agents , plugins, and automation frameworks to boost developer productivity. * Develop documentation including user guides, API references, and operational playbooks. * Support ...

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 ...

Configure AI agents , plugins, and automation frameworks to boost developer productivity. * Develop documentation including user guides, API references, and operational playbooks. * Support ...

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 ...

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade ...

Proficiency with Azure DevOps (or equivalent) for building CI/CD pipelines that automate testing and deployment of AI applications We are seeking an AI Engineer who is curious, innovative, and hands ...

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 ...

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade ...

Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD ... If you're an AI engineer who thrives at the intersection of cutting-edge research and real-world ...

AI Engineer

San Francisco, CA · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to ...

AI Engineer

Pleasanton, CA

$116K - $159K/yr

About the Role Senior AI Engineer - Generative AI & LLMs At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain ...

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Ai Engineer Developer information

What engineers make $500,000?

Senior AI engineer developers with extensive experience, advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does an AI developer make?

An AI developer's salary varies based on experience, location, and skills, but typically ranges from $80,000 to $150,000 annually. Senior AI engineers with advanced expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries, especially in tech hubs or large companies.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI Director, Chief AI Officer, or senior machine learning executives, often found in large tech companies or finance firms. These positions require advanced expertise in AI development, leadership skills, and often involve overseeing large teams or strategic AI initiatives, with compensation including base salary, bonuses, and stock options.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and improve AI systems, requiring skills in programming, machine learning, and data analysis. Data scientists and cybersecurity specialists will also remain in demand to manage data insights and protect AI-driven systems. These roles involve complex problem-solving and adaptability that AI is less capable of replacing fully.
What cities in California are hiring for Ai Engineer Developer jobs? Cities in California with the most Ai Engineer Developer job openings:
AI Engineer / Developer

AI Engineer / Developer

Aptino

Santa Clara, CA • On-site

$133K - $160K/yr

Other

Posted 15 days ago


Job description

Job Title

AI Engineer / Developer

Role Overview

We are looking for an AI Data Engineer / Developer to design, build, and maintain scalable data pipelines and AI-ready data systems that power machine learning and generative AI applications. This role sits at the intersection of data engineering, software development, and AI, ensuring high-quality, reliable data flows from source to model deployment.

You will work closely with data scientists, ML engineers, and product teams to transform raw data into structured, model-ready datasets and production-grade AI services.


Key ResponsibilitiesData Engineering & Pipelines
  • Design, build, and maintain scalable data pipelines for structured and unstructured data

  • Ingest data from multiple sources (databases, APIs, streaming platforms, files, sensors)

  • Ensure data quality, validation, lineage, and versioning for AI/ML workloads

  • Optimize data storage and retrieval for performance and cost efficiency

AI & Machine Learning Enablement
  • Prepare, transform, and feature-engineer datasets for ML and AI models

  • Support training, evaluation, and deployment of ML and LLM-based systems

  • Build and maintain data pipelines for model retraining and monitoring

  • Integrate vector databases and embedding pipelines for AI search and RAG systems

Development & Systems
  • Develop reusable data and AI services using Python and/or other relevant languages

  • Build APIs and microservices to serve data and AI outputs

  • Collaborate on CI/CD pipelines for data and ML workflows

  • Monitor, debug, and improve production data and AI systems

Collaboration & Governance
  • Work closely with data scientists, ML engineers, and product teams

  • Implement data governance, security, and compliance best practices

  • Document architectures, pipelines, and processes clearly


Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)

  • Strong experience with Python and data engineering frameworks

  • Experience building ETL/ELT pipelines and working with large datasets

  • Solid understanding of databases (SQL and NoSQL) and data modeling

  • Familiarity with machine learning workflows and AI concepts

  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)


Preferred / Nice-to-Have Skills
  • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)

  • Knowledge of LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.)

  • Experience with vector databases (Pinecone, FAISS, Weaviate, Milvus)

  • Familiarity with streaming technologies (Kafka, Spark Streaming, Flink)

  • Experience with MLOps tools and practices

  • Understanding of data privacy, security, and compliance standards