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Remote Generative Ai Engineer Jobs in California

Elicit

AI Engineer

Oakland, CA · On-site +1

AI engineering is a new category of technical work. Its emergence is linked to the increasing ... tools: notably generative machine learning systems like large language models. The term was ...

GC AI

Applied AI Engineer

San Mateo, CA · On-site +1

$165K - $350K/yr

As our AI Engineer, you'll be the architect of systems that make this transformation possible. Your ... Location Policy This is a remote role unless you fall within the following parameters. If you live ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

Stay current on Snowflake releases, the modern data stack, BI tooling, AI/ML, MLOps, and generative ... Employee divides their time between in-office and remote work. Access to an office location is ...

Figma

Software Engineer, AI Product

San Francisco, CA · On-site +1

As Figma's customer base continues to expand and diversify, and new technological advancements in AI and generative design emerge, the opportunity for AI experience engineering is greater than ever.

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Develop the data pipelines required for Generative AI, including the automated extraction, chunking ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

ResourceWell

Field CTO - Bay Area or Remote

San Jose, CA · On-site +1

$200K - $250K/yr

Define and execute a roadmap for Generative AI solutions aligned with business objectives. Collaborate with cross-functional teams, including product management, engineering, marketing, and sales, to ...

Sedgwick

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Develop the data pipelines required for Generative AI, including the automated extraction, chunking ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

GEICO

Sr. Software Engineer - Applied AI

Palo Alto, CA · On-site +1

$144K - $189K/yr

Experience: 5+ years of professional software engineering or applied machine learning experience, including 1+ years working with Generative AI or LLM-based systems in production. * Hands-on AI ...

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Remote Generative Ai Engineer information

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a Remote Generative AI Engineer, and why are they important?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do Remote Generative AI Engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a Remote Generative AI Engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in California? The most popular types of Generative Ai Engineer jobs in California are:
What are popular job titles related to Remote Generative Ai Engineer jobs in California? For Remote Generative Ai Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in California look for? The top searched job categories for Remote Generative Ai Engineer jobs in California are:
What cities in California are hiring for Remote Generative Ai Engineer jobs? Cities in California with the most Remote Generative Ai Engineer job openings:
Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Software Engineer, Observability

Senior Software Engineer, Observability

Together AI

San Francisco, CA • On-site, Remote

$200K - $280K/yr

Other

Medical

Posted 8 days ago

Job description

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.

Responsibilities

  • Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows.
  • Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.
  • Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.
  • Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis.
  • Define observability best practices.

Requirements

  • Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure).
  • Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm).
  • Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying.
  • Deep understanding of containerization (Docker) and orchestration (Kubernetes).
  • Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows.
  • Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data.

Preferred

  • Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines.
  • Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing.
  • Contributions to open-source observability projects.
  • Familiarity with security monitoring and compliance frameworks.
Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

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