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Remote Python Django Jobs in Texas (NOW HIRING)

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Applied AI Engineer

Austin, TX · On-site +1

$160K/yr

Strong experience with Python and a back-end framework such as Django, Flask, or FastAPI * Solid ... Remote-first work environment (our headquarters are in Austin, TX). * Collaborative, low-ego team ...

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Remote Python Django information

What is a Remote Python Django developer?

A Remote Python Django developer is a software engineer who specializes in using the Python programming language along with the Django web framework to build web applications, and works from a location outside of a traditional office setting. They are responsible for designing, developing, testing, and maintaining server-side logic, database models, and APIs for web applications. Working remotely, they collaborate with teams using online tools and platforms, ensuring code quality and project completion from anywhere with a reliable internet connection. This role typically requires strong knowledge of Python, Django, databases, version control, and remote communication skills.

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

To thrive as a Remote Python Django Developer, you need strong proficiency in Python programming, experience with the Django framework, and a background in web application development, often supported by a relevant degree or certifications. Familiarity with tools like Git, RESTful APIs, Docker, and cloud platforms such as AWS or Azure is commonly required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help you stand out in this distributed role. These skills ensure you can deliver robust, scalable web applications while collaborating efficiently with remote teams.

What is the difference between Remote Python Django vs Remote Flask Developer?

AspectRemote Python DjangoRemote Flask Developer
Required CredentialsBachelor's in Computer Science, Python certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentCollaborative teams, Agile projectsStartups, flexible teams, Agile
Industry UsageWeb applications, enterprise solutionsMicroservices, lightweight APIs
Common Search IntentFull-stack web development, scalable appsAPI development, small to medium apps

Remote Python Django and Remote Flask Developer roles share similar credentials and work environments but differ in application focus. Django is suited for large, scalable web projects, while Flask is ideal for lightweight, flexible APIs. Your choice depends on project complexity and specific development needs.

How does a Remote Python Django developer typically collaborate with team members across different time zones?

As a Remote Python Django developer, collaboration often relies on asynchronous communication tools like Slack, email, and project management platforms such as Jira or Trello. Teams usually hold regular video meetings to align on project goals and resolve blockers, while code reviews and documentation are managed through platforms like GitHub or GitLab. Flexibility and clear communication are essential, as developers may need to adjust their working hours occasionally for real-time discussions or sprint planning. Building strong written communication skills is key to ensuring smooth collaboration in a distributed team environment.
What are popular job titles related to Remote Python Django jobs in Texas? For Remote Python Django jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Python Django jobs in Texas look for? The top searched job categories for Remote Python Django jobs in Texas are:
What cities in Texas are hiring for Remote Python Django jobs? Cities in Texas with the most Remote Python Django job openings:
Remote Python Django jobs near you
Staff Software Engineer - AI Platform

Staff Software Engineer - AI Platform

CaptivateIQ

Austin, TX • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures,  we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.
 
About the Role

CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a **Staff Software Engineer** to set the technical strategy for our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features.

This is a strategic technical leadership role with multi-year, multi-team scope. You'll define the architecture and technical direction for AI at CaptivateIQ, making decisions that have no clear answer and partnering with senior Engineering, Product, and Design leadership to shape our long-term vision. You'll be responsible for technical choices that affect the entire organization, from platform design to engineering-wide quality standards.

As the technical anchor on a small, high-impact team, you'll lead by influence across organizational boundaries. You'll drive alignment between product teams consuming the Agentic SDK and the platform capabilities we build. You'll establish the bar for engineering excellence and invest deeply in coaching P4 engineers toward staff-level impact.

This is a rare greenfield opportunity to define how AI gets built at a growing enterprise software company. You'll shape not just the technology, but the culture and practices that scale with the organization.

 
Job Location
Remote - US
 
Responsibilities
  • Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision
  • Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns
  • Own technical decisions with organization-wide impact where the right answer is ambiguous or contested
  • Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams
  • Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities
  • Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking
  • Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications
Requirements
  • 8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership
  • Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization
  • Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization
  • Track record of setting technical strategy that spans multiple teams and multi-year time horizons
  • Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives
  • Demonstrated ability to make high-stakes technical decisions under extreme ambiguity
  • Strong mentorship track record, particularly in developing senior engineers toward staff-level impact
  • Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space
Bonus
  • Strong proficiency in Python and experience with Django or similar backend frameworks
  • Full-stack capabilities with React and TypeScript
  • Experience building and scaling internal AI/ML platforms or developer experience infrastructure
  • Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
  • Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool    ecosystems
  • Experience with AI evaluation, observability, and production monitoring at enterprise scale
  • Published technical writing, conference talks, or significant open-source contributions in AI/ML
  • Background building AI-powered products that shipped to enterprise customers with measurable business impact
  • Experience at a B2B SaaS company during periods of significant growth or platform expansion
  • Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains
Benefits
  • Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.
  • Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.
  • Annual Stipends: Dedicated funds for your professional development and caretaking needs.
  • Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does.
  • Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.
  • Premium Tools: The latest Apple hardware to empower you to do your best work.
  • Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives.
Notice to Prospective Candidates
  • Only emails from @captivateiq.com should be trusted.
  • We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.
  • Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
  • Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
  • Ask candidates to make a payment in order to be considered for a position.
  • Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
  • Please note that we'll only ask for more sensitive personal information in connection with background checks after an offer is made.
  • Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.
$181,289 - $285,272 a year
The base range represents the minimum and maximum for this position across North America. For candidates in Toronto, Canada the range is $181,289-$242,106. The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ's competitive total rewards package.
CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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