ZipRecruiter

Log In

2

Remote Python Ai Jobs in Los Angeles, CA (NOW HIRING)

Harbor Freight Tools

Sr. RPA Engineer - Remote

Calabasas, CA · On-site +1

$95K - $147K/yr

Exposure to AI-assisted decision-making, including generative, predictive, and agentic AI * Basic ... Python, C#, Java, or VB.NET * API integrations and system interactions * SQL querying and database ...

Mantari

Software Engineer

Torrance, CA · On-site +1

... AI modeling teams to operationalize next-generation forecast systems, bringing meteorological ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Rula

Sr. Analytics Engineer (Remote)

Los Angeles, CA · Remote

$192K/yr

Active experience leveraging AI-assisted development tools (like GitHub Copilot, ChatGPT, Cursor ... Basic Python proficiency providing an extra layer of technical agility when collaborating on ...

LangChain, Inc

Solutions Architect (Remote)

Los Angeles, CA · On-site +1

$68 - $89.50/hr

Design scalable, highly-available infrastructure for AI platform deployments (compute, storage ... Strong Python and/or TypeScript development skills Customer-Facing: * Customer-facing experience ...

NxT Level

Senior Tools Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

Our client is looking for a Tools Programmer to join their fully remote team to build next ... Proficient in C++, C#, or Python with strong understanding of software engineering principles.

previous page

Showing results 41-60

All JobsPython Ai JobsRemote Python Ai JobsRemote Python Ai Jobs in Los Angeles, CA

Remote Python Ai information

See Los Angeles, CA salary details

$14

$63

$92

How much do remote python ai jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote python ai in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 per hour, depending on experience, location, and employer.

What is a remote Python AI job?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What skills and qualifications are needed to thrive as a remote Python AI developer?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Python Ai jobs in Los Angeles, CA?

The most popular types of Python Ai jobs in Los Angeles, CA are:

What are popular job titles related to Remote Python Ai jobs in Los Angeles, CA?

For Remote Python Ai jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Ai jobs in Los Angeles, CA look for?

The top searched job categories for Remote Python Ai jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Remote Python Ai jobs?

Cities near Los Angeles, CA with the most Remote Python Ai job openings:

Remote Python Ai jobs near you

Sr. Software Engineer - Engineering Enablement

NextDeavor Inc.

Irvine, CA • Remote

$150K - $190K/yr

Contractor

Posted 24 days ago

Job description

Sr. Software Engineer - Engineering Enablement
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Sr. Software Engineer - Engineering Enablement

You will own and evolve critical developer platform components that accelerate R&D productivity and AI-native development across the organization. In this senior individual-contributor role you will deliver production features, partner directly with engineering teams, and measure impact through adoption and productivity metrics. Remote.

Here's How You'll Make an Impact on the Team
  • Own features and infrastructure end-to-end: design, implementation, testing, and production release with limited guidance
  • Design and maintain shared CI/CD pipeline abstractions, templates, and reusable jobs used across multiple teams
  • Build and operate AI tooling and MCP server infrastructure, including agent orchestration, scheduling, observability, cost controls, and security boundaries
  • Own sandbox environment infrastructure: container orchestration, provisioning, lifecycle management, networking, and data isolation guardrails
  • Drive adoption through documentation, onboarding programs, office hours, and direct team engagement
  • Resolve systemic reliability issues (flaky tests, slow builds, caching inefficiencies) and partner with teams during migrations
  • Instrument platform usage and productivity (DORA metrics, adoption rates, time-to-productivity) to demonstrate impact
  • Participate in design discussions, code reviews, and mentor other engineers
Here's What You'll Need to Be Successful in This Role
  • 5+ years of professional software engineering experience delivering production features and infrastructure
  • Hands-on experience building and maintaining CI/CD systems at org scale (preferably GitLab CI and/or Jenkins)
  • Experience building developer-facing tooling or platform services relied on by other engineers
  • Hands-on experience with LLM developer tooling, MCP, agent orchestration, or AI harnesses
  • Deep proficiency in Python or TypeScript with production experience
  • Proficiency with Kubernetes and Helm at production scale on AWS or Azure
  • Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
  • Proficiency with Git, Docker, automated testing, and modern scripting; active daily use of AI-assisted development tools
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
Here's What Else Might Help You Out
  • Prior Engineering Enablement, Platform Engineering, or Developer Productivity role with measurable developer velocity outcomes
  • Experience building MCP servers or tool-integration layers for LLM systems
  • Experience operating infrastructure for autonomous AI agents (sandboxed execution, scheduling, observability, cost management)
  • Familiarity with DORA metrics and developer productivity instrumentation
  • Experience with JFrog Artifactory, Nexus, or equivalent artifact management systems
  • Prior experience in financial services, fintech, or regulated environments; exposure to SOC 2 or similar compliance from an engineering perspective
Pay Range

$150K - $190K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

Apply with Pioneers here

Apply