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Python Backend Developer Remote Jobs in Indiana (NOW HIRING)

Kobie Marketing

AI Engineer

Indianapolis, IN · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

FANUC America Corporation

Engineer

Brook, IN · On-site +1

$83K - $135K/yr

This is a fully remote position ideally based within the corridor between Mason, Ohio and Boston ... Python, KAREL, C++, and HTML5/CSS/Javascript programming; FANUC iRVision, PalletTool, and ...

Kobie Marketing

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development ...

Circle Logistics

AI Automation Engineer

Fort Wayne, IN · On-site +1

Strong Python skills and comfort working with REST APIs, webhooks, and data integrations * Hands-on ... Competitive salary + performance bonus * [Health / Dental / Vision] benefits * [Remote/Hybrid / On ...

New

Circle Logistics

AI Automation Engineer

Fort Wayne, IN · On-site +1

Strong Python skills and comfort working with REST APIs, webhooks, and data integrations * Hands-on ... Competitive salary + performance bonus * [Health / Dental / Vision] benefits * [Remote/Hybrid / On ...

New

Circle

$140K - $185K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Write and maintain code (e.g., Python, JavaScript) to integrate AI models, APIs, and internal ...

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All JobsPython Backend Developer Remote JobsPython Backend Developer Remote Jobs in Indiana

Python Backend Developer Remote information

See Indiana salary details

$23.5K

$140.2K

$185.7K

How much do python backend developer remote jobs pay per year?

As of Jun 26, 2026, the average yearly pay for python backend developer remote in Indiana is $140,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $158,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Python Backend Developer (Remote), you need strong proficiency in Python programming, knowledge of backend frameworks (such as Django or Flask), and experience with database management, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, RESTful API design, and cloud platforms (e.g., AWS or Azure) is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set top developers apart. These skills ensure robust, scalable backend solutions are delivered efficiently while collaborating seamlessly with distributed teams.

What is the difference between Python Backend Developer Remote vs Python Web Developer?

AspectPython Backend Developer RemotePython Web Developer
Required SkillsPython, Django/Flask, REST APIs, databasesPython, Django/Flask, HTML/CSS, JavaScript
Work EnvironmentRemote, independent or team-basedRemote or on-site, often collaborative
Industry UsageTech, startups, SaaS companiesWeb development agencies, tech firms
CertificationsPython certifications, web frameworksPython certifications, web development courses

Both roles involve Python programming and web development skills, but Python Backend Developers focus on server-side logic, APIs, and databases, often working remotely. Python Web Developers may have a broader skill set including front-end technologies and may work in various environments. The roles overlap significantly, but the backend role emphasizes server-side architecture.

How does a Python Backend Developer typically collaborate with front-end developers and other team members in a remote setting?

As a remote Python Backend Developer, you'll frequently collaborate with front-end developers, DevOps engineers, and product managers using tools like Slack, Jira, and GitHub. Regular stand-up meetings and code reviews help ensure alignment on project goals and timelines. You'll often work closely with front-end developers to design APIs, resolve integration issues, and implement new features, requiring clear communication and thorough documentation. Effective collaboration in a remote environment relies on proactive updates, responsive communication, and a strong understanding of team workflows.

What does a remote Python Backend Developer do?

A remote Python Backend Developer designs, builds, and maintains the server-side logic of web applications using the Python programming language. They are responsible for developing APIs, managing databases, ensuring application performance, and integrating third-party services. Working remotely, they collaborate with front-end developers, DevOps, and other team members through online tools to deliver scalable and reliable software solutions.
What are popular job titles related to Python Backend Developer Remote jobs in Indiana? For Python Backend Developer Remote jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Python Backend Developer Remote jobs in Indiana look for? The top searched job categories for Python Backend Developer Remote jobs in Indiana are:
What cities in Indiana are hiring for Python Backend Developer Remote jobs? Cities in Indiana with the most Python Backend Developer Remote job openings:
Python Backend Developer Remote jobs near you
AI Engineer

AI Engineer

Kobie Marketing

Indianapolis, IN • Remote

Full-time

Posted 14 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we'll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There's no single path into this role. We value the impact of what you've built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty! 
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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