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Remote Python Ai Jobs in Monrovia, CA (NOW HIRING)

UJET INC.

AI Software Engineer

Los Angeles, CA · On-site +1

$150K - $165K/yr

One day you might be building agent workflows in Python, the next shipping customer-facing features ... We are unable to sponsor or take over sponsorship of an employment visa at this time. #LI-Remote ...

Numentica LLC

AI Application Engineer

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The AI Application Engineer builds the prototypes, services ... Strong software engineering skills in a common language such as Python,TypeScript/Node.js, or Java.

YO AI Labs

Java Open Source Contributor

Los Angeles, CA · Remote

$55 - $71/hr

Remote Scope of Work: * Contribute production-quality code, reviews, and documentation to open ... C++, Python, JAVA, GoLang, Typescript, or Rust. * Identify and resolve technical challenges, bugs ...

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Experience with Python and/or other code languages required * 6 Sigma Black Belt certification ...

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Remote Python Ai information

See Monrovia, CA salary details

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How much do remote python ai jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for remote python ai in Monrovia, CA is $62.16, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 per hour, depending on experience, location, and employer.

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

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.

What are Remote Python AI jobs?

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 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.

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 job categories do people searching Remote Python Ai jobs in Monrovia, CA look for? The top searched job categories for Remote Python Ai jobs in Monrovia, CA are:
What cities near Monrovia, CA are hiring for Remote Python Ai jobs? Cities near Monrovia, CA with the most Remote Python Ai job openings:
Remote Python Ai jobs near you
AI Software Engineer

AI Software Engineer

UJET

Los Angeles, CA • On-site, Remote

$150K - $165K/yr

Other

Posted 15 days ago

Job description

Opportunity:

We're looking for a AI Software Engineer to help build the next generation of UJET's AI products: Spiral and AXO. This is a high-impact role for someone who thrives in ambiguity, enjoys moving across the stack, and wants to turn cutting-edge model capabilities into real-world product experiences.

You'll work across backend systems, AI services, product features, APIs, and infrastructure. One day you might be building agent workflows in Python, the next shipping customer-facing features in TypeScript, improving evals and reliability, or designing systems that process large-scale conversational data securely and efficiently.

This role is ideal for an engineer who is deeply practical about AI: someone who uses AI-assisted development naturally, understands how to build with and around LLMs, and cares about reliability, performance, and user impact as much as model quality. We value curiosity highly. The best people in this role are excited to dig into messy problems, ask good questions, and iterate until the system is measurably better.

Responsibilities:

  • Build and own product and platform capabilities across Spiral and AXO, from early prototypes to production systems.
  • Design and implement AI-powered workflows, agent capabilities, and backend services that are scalable, secure, and reliable.
  • Develop high-performance APIs, async workers, and application logic in Python and TypeScript.
  • Ship user-facing product features and internal tools that make advanced AI systems useful and intuitive for customers.
  • Architect and improve data ingestion, parsing, and analysis pipelines that transform raw customer interaction data into structured, actionable insights.
  • Partner across engineering, product, and design to translate ambiguous product ideas into robust technical systems.
  • Own infrastructure and deployment patterns on AWS/GCP, with a focus on reproducibility, observability, security, and cost efficiency.
  • Improve system quality through evaluation, monitoring, logging, alerting, and operational best practices.
  • Help define engineering standards, review code, and mentor teammates working on distributed systems and AI applications.

Requirements:

  • 3-5 years of professional software engineering experience, with strong hands-on experience building production systems.
  • Strong experience as a generalist engineer who can move fluidly between backend systems, frontend, AI services, APIs, and product development.
  • Excellent programming skills in Python and TypeScript.
  • Experience shipping AI agents, LLM-powered applications, or other production AI systems, including prompt and tool orchestration, evaluation, and cost/reliability tradeoffs.
  • Strong product instincts and comfort working in ambiguous environments where the right solution is not obvious at the start.
  • Experience building and operating systems on AWS/GCP in production.
  • Comfort working with large, messy datasets and building pipelines that turn unstructured inputs into dependable product functionality.
  • Strong SQL and data systems fundamentals.
  • A bias toward ownership, speed, and pragmatic execution.
  • Experience building AI-native products from 0 to 1.
  • Familiarity with conversational data, support platforms, CRM/CCaaS integrations, or customer experience tooling.
  • Experience with observability, evaluation frameworks, and production reliability for AI systems.

Annual US Hiring Range: $150,000 - $165,000

*A candidate's actual placement within this range will depend on geographic location, work experience, education, and/or skill level.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

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