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Python Back Jobs (NOW HIRING)

Python Developer

Chicago, IL · On-site

$51.75 - $71.25/hr

Python Developer Location: Chicago, IL Duration: 4 Months+ Extension Experience Guidelines: * 7+ ... Experience implementing back-office solutions * Transactions, settlements, anything related to back ...

Python Developer

Chicago, IL

$51.75 - $71.25/hr

Python Developer Location: Chicago, IL Duration: 4 Months+ Extension Experience Guidelines: * 7+ ... Experience implementing back-office solutions * Transactions, settlements, anything related to back ...

Python Developer

Chicago, IL

$51.75 - $71.25/hr

Python Developer Location: Chicago, IL Duration: 4 Months+ Extension Experience Guidelines: * 7+ ... Experience implementing back-office solutions * Transactions, settlements, anything related to back ...

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Python Developer NYC, NY 6+ months Responsibilities ... Work on front, middle or back office platforms for leading investment banks Involvement in projects ...

Reply back with response to the following questions: 1. This is a part-time job. Are you OK with ... Python and Java - Experience in teaching OTHER: - Dependable and professional (most important ...

Reply back with response to the following questions: 1. This is a part-time job. Are you OK with ... Python and Java - Experience in teaching OTHER: - Dependable and professional (most important ...

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Python Back information

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How much do python back jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for python back in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements that AI tools currently cannot replicate entirely. AI can assist programmers by automating repetitive tasks and providing code suggestions, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and improving problem-solving skills can help Python coders remain valuable in the evolving tech landscape.

What is the backend for Python?

In Python development, the backend refers to the server-side code that handles data processing, storage, and application logic. Python is commonly used for backend development with frameworks like Django and Flask, which facilitate building scalable and secure web applications. Knowledge of databases, APIs, and server management is also important for Python backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries for web frameworks like Django and Flask. Employers seek Python developers for building scalable, efficient server-side applications, often requiring knowledge of databases, APIs, and cloud deployment. The role typically offers competitive salaries and opportunities across various industries such as tech, finance, and healthcare.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
More about Python Back jobs
What cities are hiring for Python Back jobs? Cities with the most Python Back job openings:
What states have the most Python Back jobs? States with the most job openings for Python Back jobs include:
Infographic showing various Python Back job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Applied AI Engineer / Developer (Claude + Python)- On-Site Only (Bradenton, FL)

United Placement Group

Bradenton, FL • On-site

$45.50 - $62.75/hr

Contractor

Medical, PTO

Posted 13 days ago


Job description

Title: Applied AI Engineer / Developer (Claude + Python)
Type: Full-Time | In-Office | Growth Opportunity

About Us

We're building a small, fast-moving team focused on practical AI agents that actually help people get real work done. You'll work at the intersection of Claude, Python, and modern product design-creating and integrating AI agents into internal tools, customer-facing experiences, and creative workflows.

This is a full-time, on-site role (not remote), ideal for someone who has been experimenting with LLMs and is ready to take ownership of end-to-end AI projects in a collaborative, hands-on environment.

Role Summary

As an Applied AI Engineer / Developer, you will design, build, and refine AI agents powered by Claude and other LLMs, integrate them with Python back-ends and third-party APIs, and partner closely with designers and business stakeholders.

You'll own projects from concept through production-scoping requirements, prototyping, iterating on prompts and architecture, and delivering reliable, maintainable solutions-while also collaborating closely with the rest of the team to share patterns and improve our overall AI stack.

What You'll Do
  • Architect, implement, and maintain Claude-powered workflows and agents using Python.
  • Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools, web applications, and operational workflows.
  • Design and build integrations with external tools, REST APIs, databases, and other services to make agents genuinely useful in real-world work.
  • Lead prompt design and iteration-testing prompts, contexts, and settings to improve reliability, quality, and user experience.
  • Build and optimize context-augmented / RAG-style workflows (feeding documents or data into LLMs in a controlled, auditable way).
  • Write clean, testable Python code with appropriate logging, error handling, and basic observability.
  • Collaborate with designers, product, and non-technical stakeholders to turn ideas into scoped, deliverable AI-powered features and tools.
  • Take ownership of projects end-to-end: requirements gathering, technical design, implementation, handoff, and ongoing improvement.
What We're Looking For
  • 2-4+ years of programming experience (professional, internship, or substantial project work) with strong Python skills.
  • Hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.)-through production use, projects, coursework, or serious personal experimentation.
  • Experience calling web APIs (REST/JSON) and working with JSON data in Python.
  • Familiarity with core LLM concepts: prompts, tokens, context windows, and issues like hallucinations and guardrails.
  • Comfort using Git and working in a collaborative development workflow (code reviews, branching strategies, etc.).
  • Ability to balance autonomy and collaboration: you can drive a project forward independently while communicating clearly and syncing with the team.
  • Strong problem-solving skills, curiosity, and a bias toward experimentation and continuous improvement.
  • Ability and willingness to work on-site full time at our office location (this is not a remote or hybrid role).
Nice to Have
  • Direct experience with Claude (Claude API, Anthropic console, or Claude-based tools).
  • Projects involving chatbots, assistants, AI agents, or workflow automation that solved a real user or business problem.
  • Exposure to web frameworks (FastAPI, Flask, or a front-end framework like React/Next.js).
  • Experience partnering with designers, content teams, or UX to ship polished user-facing experiences.
  • Working knowledge of vector databases, embeddings, or RAG-style systems, and how they fit into production AI architectures.
  • Basic familiarity with observability and deployment practices for AI-powered systems (e.g., monitoring, logging, error tracking).
What We Offer
  • Full-time, on-site position with weekly pay.
  • Competitive compensation and benefits (health, PTO, etc.).
  • A collaborative environment that encourages ownership, experimentation, and cross-functional learning.
  • Direct mentorship and peer support from experienced AI/LLM practitioners on real-world projects.
  • The opportunity to work hands-on with the latest LLM tools and workflows, shape our AI capabilities, and grow quickly as the team and company expand.
How to Apply

Please send your resume, a brief introduction, and links to any relevant projects (GitHub, portfolio, or demos). If you've built anything with LLMs-even internal tools or small experiments-highlight those. We're especially interested in how you think, design, build, and learn, and in examples where you owned a project from start to finish..