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Remote Python Ai Jobs in San Jose, CA (NOW HIRING)

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

The Role We're looking for a Python Integrations Developer to own and expand the third-party ... AI-assisted development tools available (Claude Code, GitHub Copilot) Location This is a remote ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

The Role We're looking for a Python Integrations Developer to own and expand the third-party ... AI-assisted development tools available (Claude Code, GitHub Copilot) Location This is a remote ...

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key Responsibilities: Design, develop, and implement AI/ML models and algorithms using Python. Deploy and manage AI ...

Remote JD: Core Responsibilities * Design, develop, and deploy autonomous AI agents using ... Expertise in Python and modern software development practices. * Hands-on experience with Large ...

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Remote Python Ai information

See San Jose, CA salary details

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$68

$101

How much do remote python ai jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote python ai in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

What remote jobs can you get with Remote Python Ai?

Remote Python AI skills can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI research scientist. These positions often involve developing AI models, working with Python libraries like TensorFlow or PyTorch, and can be performed on flexible schedules from anywhere with internet access.

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.

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 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 are popular job titles related to Remote Python Ai jobs in San Jose, CA? For Remote Python Ai jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in San Jose, CA look for? The top searched job categories for Remote Python Ai jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Remote Python Ai jobs? Cities near San Jose, CA with the most Remote Python Ai job openings:

Python Integrations Developer

Extractable

San Francisco, CA • Remote

$59.25 - $81.50/hr

Full-time

Re-posted 21 days ago


Job description

About Finalytics.ai

Finalytics.ai is a leading fintech company delivering AI-powered personalization solutions purpose-built for credit unions and community financial institutions. Our platform helps member-focused organizations deepen relationships, drive growth, and deliver the right financial products to the right members at the right moment. We are a lean, mission-driven team passionate about the positive impact community financial institutions have on the people they serve.


The Role

We're looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You'll be the go-to person for building, maintaining, and troubleshooting integrations with digital banking platforms (Q2, Banno, Alkami), CRM systems (HubSpot, Salesforce), loan origination and account opening systems, and other vendor APIs.

This is a hands-on technical role with a client-facing dimension. You'll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and support teams, and coordinate with our clients' IT departments to get integrations live. You'll need to be comfortable reading API docs, parsing data formats, and solving the messy real-world problems that come with connecting disparate systems.


What You'll Work On

  • Digital Banking Integrations - Build and maintain connections with Q2, Banno (Jack Henry), Alkami, and other digital banking platforms to ingest member data, account information, and transaction feeds
  • CRM Integration - Own integrations with HubSpot and Salesforce: contact syncing, deal tracking, custom property mapping, and workflow automation
  • Loan Origination & Account Opening - Connect with MeridianLink, Origence, Fiserv, nCino, Blend, Withclutch, and other LOS/OAO platforms to track application funnels and conversion data
  • Client Onboarding - Work with new clients to configure and test integrations during setup, including credential management, field mapping, and data validation
  • Monitoring & Troubleshooting - Build alerting and logging around integration health; diagnose and resolve data sync failures, authentication issues, and schema changes


Key Integrations

  • Digital Banking: Q2, Banno (Jack Henry), Alkami, Digital Insight (NCR Voyix), Fizerv
  • CRM: Hubspot, Salesforce
  • LOS/OAO: MeridianLink, Origence, Fiserv,(OpenNow/Originate), nCino, Blend, Withclutch.
  • Analytics: Google Analytics 4, Google BigQuery, Google Tag Manager, Looker


Requirements

Must Have

  • 3+ years experience building and maintaining third-party API integrations - REST, SOAP, webhooks, file-based data exchange
  • Python proficiency - comfortable writing production Python code; Django experience preferred but not required if you can learn quickly
  • Financial services / digital banking experience - experience with one or more of: Q2, Jack Henry (Banno), Alkami, Bankjoy, Fiserv, or similar platforms
  • API troubleshooting skills - ability to diagnose auth failures, data mapping issues, rate limiting, and schema mismatches using logs, API docs, and tools like Postman
  • Clear communication - you'll coordinate with client IT teams, vendor support, and internal developers; ability to translate technical issues for non-technical stakeholders
  • Self-directed problem solving - vendor docs are often incomplete; you need to be comfortable figuring things out through experimentation, vendor support tickets, and reading source code

Nice to Have

  • HubSpot or Salesforce API experience - contact management, custom properties, workflow automation, deal pipelines
  • LOS/OAO systems - MeridianLink, Origence, nCino, Blend, Withclutch, or similar loan origination/account opening platforms
  • OAuth 2.0 / authentication protocols - implementing auth flows for third-party services
  • Google BigQuery or analytics platforms - writing analytical queries, working with GA4 event data
  • Experience working with credit unions or banks - understanding member data, account structures, and regulatory considerations

What We Value

  • Reliability over cleverness - integrations must work consistently; prefer simple, well-tested solutions over elegant but fragile ones
  • Vendor relationship skills - ability to work effectively with third-party support teams, escalate issues appropriately, and maintain productive relationships
  • Security mindset - handling sensitive financial data means thinking about encryption, access control, credential management, and data retention

Work Style

  • Small engineering team with direct access to product decisions
  • Two-week sprint cycles with regular deployments
  • Mix of building new integrations, maintaining existing ones, and supporting client onboarding
  • Direct interaction with clients during integration setup and troubleshooting
  • AI-assisted development tools available (Claude Code, GitHub Copilot)


Location

This is a remote position. We prefer candidates located in Central US time zones for coverage across our client base, but we're flexible for the right candidate.


What We Offer

  • Competitive salary ($100,000 - $130,000 based on experience)
  • Remote-first culture
  • Opportunity to grow with a scaling fintech company
  • Direct impact on client success and company growth
  • Collaborative, low-ego team environment