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Software Engineer Ai Remote Jobs in California (NOW HIRING)

Sanity

Senior Software Engineer, AI Growth

San Francisco, CA · On-site +1

$144K - $190K/yr

Sanity MCP Server - our remote MCP server, now generally available and listed as one of eight ... let AI agents interact deeply with Sanity's content platform. * Build agentic developer tools ...

Nextracker

Forward Deployed Engineer (AI)

Fremont, CA · On-site +1

... remote work arrangements are not being considered for this role. Relocation assistance is not ... This position requires a combination of software engineering, product thinking, and strong ...

Paramount

Software Engineer

Burbank, CA · On-site +1

$110K - $165K/yr

Software Engineer - AI Tooling & Quality Engineering Platforms Team : Global Quality Engineering (GQE) Location : New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp is seeking ...

Jade Global

Software AI Engineer

San Jose, CA · Remote

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.

HiddenLayer

Lead Engineer, AI Attack Simulation

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a ... The ideal candidate combines deep software engineering experience, cybersecurity expertise, agentic ...

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Software Engineer Ai Remote information

How does a remote software engineer AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What does a software engineer AI remote do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

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

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

What is the difference between Software Engineer Ai Remote vs Data Scientist Ai Remote?

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

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

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

What job categories do people searching Software Engineer Ai Remote jobs in California look for?

The top searched job categories for Software Engineer Ai Remote jobs in California are:

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

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

Software Engineer Ai Remote jobs near you
Infographic showing various Software Engineer Ai Remote job openings in California as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Software Engineer, AI Product Insights

Mixpanel

San Francisco, CA • Remote

$226K - $306K/yr

Full-time

Re-posted 22 days ago

Job description

About the Team

The Proactive Insights team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you.

We answer the question every data-driven team asks: "What changed, why, and what should I do about it?" We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel.

Some examples of what we are building:

  • AI-powered root cause analysis: intelligent agents that diagnose why metrics changed, identify contributing factors, and recommend what to do next
  • AI automations for KPI monitoring: always-on agents that track your key metrics and deliver insights to Slack, email, or directly in Mixpanel
  • Intelligent alerts and anomaly detection: monitoring powered by models like TimesFM that surfaces meaningful shifts in your data
About the Role

As a Software Engineer on Proactive Insights, you'll build the features that transform how teams stay on top of their data. You'll work across the full stack, from React frontend experiences to Python backend services to integrating with our query engine, to ship workflows that surface insights users didn't know to ask for. You'll collaborate closely with Product and Design to shape what proactive analytics looks like, and with our AI Engine team to leverage shared infrastructure for orchestration, evaluation, and observability.

This is a high-impact role on a small, fast-moving team where your work will define a new product category for Mixpanel.

Responsibilities
  • Build AI-powered features end-to-end, from agent logic and query orchestration to frontend visualization and delivery
  • Design and implement user experiences for surfacing automated insights: dashboards, notifications, digests, and interactive analysis flows
  • Collaborate with Product and Design to define what proactive analytics looks like and how users interact with AI-generated insights
  • Partner with the AI Engine team to integrate shared tooling for agent orchestration, evaluation, and observability
  • Instrument tracking and build dashboards to measure feature adoption and the quality of AI-generated insights
  • Participate in team on-call rotation to improve our systems and keep them healthy
We're Looking For Someone Who Has
  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
  • 5+ years of professional software engineering experience
  • Strong full-stack fundamentals: you're comfortable working across frontend, backend, and data layers
  • Excellent debugging and technical investigation skills
  • Strong technical communication, ideally with experience collaborating in an asynchronous remote environment
  • Ability to move fast and iterate in ambiguous, greenfield problem spaces: you take ownership and focus on delivering value to users
  • A data-driven mindset and genuine curiosity about how people use analytics tools
  • A desire to be on the forefront of leveraging AI to drive product improvement at thousands of companies
Bonus Points For
  • Experience building with LLMs, AI agents, or tool-use frameworks
  • React / TypeScript experience
  • Django / Python experience
  • Familiarity with analytics or observability platforms
  • Interest in information retrieval, anomaly detection, or statistical analysis
Mixpanel Compensation Range

$226,000 - $306,000 USD

Apply