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Remote Entry Level Ai Engineer Jobs in California

AI Engineer

San Francisco, CA · On-site +1

$155K - $180K/yr

We are looking for an AI Engineer to help build our next-generation conversational AI experiences ... We will also consider highly qualified remote candidates who can travel to San Francisco for in ...

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

Explainable AI Engineer

Palo Alto, CA · Remote

$122K - $165K/yr

We're hiring an Explainable AI Engineer to build, verify, and validate business impact predictions ... This is a remote position. USA, Nationwide. * You will have an opportunity to start as a contractor ...

Senior AI Engineer

San Francisco, CA · On-site +1

$250K - $300K/yr

You're a strong AI engineer who ships real things, and you're equally at home in an open-source ... hybrid/remote team's cell phone and internet expenses* * $1,200 per year Health & Wellness ...

AI Engineer, Ecosystem

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ...

AI Engineer, Product

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Build ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

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Remote Entry Level Ai Engineer information

What is a remote entry level AI engineer?

A Remote Entry Level AI Engineer is a professional who works from a remote location to help develop, test, and implement artificial intelligence (AI) systems and models. They typically support more experienced engineers by writing code, analyzing data, and assisting with machine learning tasks. Entry level roles often require basic programming skills (such as Python), familiarity with AI frameworks, and a passion for learning new technologies. Working remotely allows for flexibility, but it also requires good communication and self-management skills. This role is ideal for recent graduates or those transitioning to AI engineering from related fields.

What are the key skills and qualifications needed to thrive as a remote entry level AI engineer?

To thrive as a Remote Entry Level AI Engineer, you need a solid understanding of programming languages (like Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for excelling in a remote setting. These skills ensure you can contribute meaningfully to AI projects, learn quickly in a rapidly evolving field, and collaborate efficiently with distributed teams.

What are the typical collaboration methods for remote entry level AI engineers working on distributed teams?

Remote entry-level AI engineers usually collaborate with team members through a mix of video conferencing, instant messaging, and shared project management tools. You'll often participate in daily stand-ups, code reviews, and brainstorming sessions using platforms like Slack, Zoom, or Microsoft Teams. Version control systems such as GitHub or GitLab are essential for coordinating code contributions. Building strong communication skills is important, as you'll need to clearly articulate ideas and ask questions despite not being physically present with your colleagues.

What are popular job titles related to Remote Entry Level Ai Engineer jobs in California?

For Remote Entry Level Ai Engineer jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Entry Level Ai Engineer jobs?

Cities in California with the most Remote Entry Level Ai Engineer job openings:

Infographic showing various Remote Entry Level Ai Engineer job openings in California as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

AI Engineer

Arbital Health

San Francisco, CA • On-site, Remote

$155K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.
We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth.
We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital, Valtruis and other leading investors. In our first 2 years, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting.
Arbital AI allows users to interact with complex VBC contracts & performance data in natural language and visualize it on demand. The 1st AI-powered platform built for VBC by industry leading healthcare actuaries, Arbital AI makes complex contract performance data conversational, transparent, and instantly actionable.
We are looking for an AI Engineer to help build our next-generation conversational AI experiences. This role sits at the intersection of AI models and the data systems behind them: you'll build retrieval and evaluation pipelines and the knowledge systems that ground our models' responses in production, working alongside senior engineers while keeping the customer experience front and center.
Is this role right for you?
If you want to make an impact on the US healthcare system, the idea of Arbital AI excites you, and the following matches your skills, experience, and interests:
• Development and deployment of a data-intensive AI product on a SaaS platform
• Programming in Python and SQL
• Learning new frameworks, technologies, tools, and techniques in AI development
• Hands-on experience with prompt engineering, model testing, and automated evaluation techniques for
conversational AI.
• You strive for technically sound solutions that enhance user workflows, demonstrating a talent for iterative improvement and rigorous testing
Impact:
As an AI Engineer at Arbital Health, you'll play a pivotal role in shaping the future of value-based healthcare through intelligent automation. You'll help unlock insights from complex financial, clinical, and actuarial data by:
• Help advancing our AI architecture for interacting with complex and unstructured healthcare contract & financial data, delivering real-time analytics and visualizations
• Driving the evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment
• Dramatically reducing analytics time for strategic decision-making
Responsibilities:
• Develop Arbital's next-generation conversational AI
• Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital's AI strategy
• Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues
• Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
Requirements:
• 2 - 5 years of experience in data-intensive, SaaS platform development projects
• More than one year in machine learning or AI-related roles
• Familiarity with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
• Familiarity with AI orchestration frameworks like LangChain, ADK, etc.
• Familiarity with maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations.
• Proficiency in Python and Cloud ML Services like Vertex AI, AWS Bedrock and SageMaker
• Experience with Airflow, Databricks, and AWS or GCP
• Ability to ship extremely high-caliber code and build exceptional products
• Passionate about improving and innovating
• Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.
Tools we use:
• Infrastructure: AWS, GCP, Databricks, Airflow, Datadog
• AI: Vertex AI, GCP Model Garden, MLflow, Databricks Vector Search
• Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS
• IDE: Cursor, Claude Code, and R Studio
• Version Control: GitHub
• Team Planning / Design: Jira, Confluence, Claude, Gemini
$155,000 - $180,000 a year
Why Join Us?
We are assembling a team of creative, talented visionaries seeking to build a new technology that will change healthcare. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.
We Offer:
• Generous equity grants of ISO stock options
• We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance
• 4% 401(k) match
• Flexible PTO, a weeklong winter shutdown, and 10 holidays each year
• Occasional travel required - Quarterly team offsites
• The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care
Work Authorization
• Applicants must be legally authorized to work in the United States for the duration of their employment.
• This position is not eligible for employer-sponsored immigration sponsorship, now or in the future. • Applicants must be able to work in the United States without requiring employer sponsorship.