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Api Python Jobs in Chicago, IL (NOW HIRING)

Whiztek Corp

Gen AI Engineer

Chicago, IL · On-site

Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. * Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch. * Cloud Platforms: Familiar with Google Model ...

9to9 Software Solutions LLC

AI Lead

Chicago, IL · On-site

$144K - $177K/yr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented ... API integration (OAuth, JWT). · Experience with Salesforce and Agentforce integrations.

Spruce Infotech

Azure Devops Engineer

Chicago, IL · On-site

$54.50 - $74.50/hr

Systems Architect & Developer - 2 positions @ Chicago, IL API Concepts • Understanding of API ... testing in pipelines Python Scripting • Ability to write and maintain Python scripts for ...

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How much do api python jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for api python in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

What are some common challenges faced by API Python developers when integrating third-party services, and how can they be addressed?

API Python developers often encounter challenges such as inconsistent documentation, rate limiting, and unexpected changes in third-party APIs. To address these, it's important to thoroughly read and test API documentation, implement robust error handling and retry logic, and use environment variables or configuration files to manage sensitive credentials. Developers should also stay updated on API version changes and participate in relevant developer communities to share solutions and best practices.

What is an API Python developer?

An API Python developer is a software professional who specializes in creating, implementing, and maintaining Application Programming Interfaces (APIs) using the Python programming language. Their main responsibilities include designing RESTful or GraphQL APIs, integrating third-party services, ensuring secure and efficient data exchange, and writing clean, scalable code. API Python developers often work closely with front-end developers and other back-end engineers to support seamless communication between different parts of a software system.

Which Python job is in demand?

Python development roles, including Python developers, data scientists, and backend engineers, are highly in demand across industries such as technology, finance, and healthcare. Skills in frameworks like Django or Flask, along with knowledge of APIs and data analysis, increase employability. Certifications and experience with cloud platforms can also enhance job prospects.

What is the difference between Api Python vs Data Analyst?

AspectApi PythonData Analyst
Required SkillsPython programming, API integration, data manipulationData visualization, statistical analysis, Excel, SQL
Work EnvironmentSoftware development, backend services, data pipelinesBusiness insights, reporting, data interpretation
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, consulting firms

Api Python focuses on developing and maintaining APIs using Python, emphasizing coding and technical skills. Data Analysts interpret data to provide business insights, often using tools like Excel and SQL. While Api Python roles are more technical and development-oriented, Data Analysts focus on analyzing data to support decision-making. Both roles may overlap in data handling but serve different primary functions within organizations.

Will AI replace Python devs?

AI is unlikely to fully replace Python developers, as their roles involve designing, maintaining, and optimizing AI systems, which require human expertise. Python developers also work on diverse tasks such as software development, data analysis, and automation that benefit from creative problem-solving and domain knowledge. AI tools can assist developers but are not a complete substitute for their skills and understanding of complex systems.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with version control and databases enhances employability.

How much do API developers make?

API Python developers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Skilled developers with expertise in RESTful APIs, Flask, or Django and relevant certifications tend to command higher salaries, especially in tech hubs or companies with complex integration needs.

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

To thrive as an API Python Developer, you need a solid understanding of Python programming, RESTful API design, and experience with frameworks like Flask or Django, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, API testing tools such as Postman, and containerization platforms like Docker is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top developers apart. These skills ensure robust, secure, and scalable API solutions that meet business requirements and facilitate seamless collaboration within development teams.
What are popular job titles related to Api Python jobs in Chicago, IL? For Api Python jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Api Python jobs in Chicago, IL look for? The top searched job categories for Api Python jobs in Chicago, IL are:
Api Python jobs near you
Full Stack Python Developer

Full Stack Python Developer

Column Technical Services

Chicago, IL

Full-time

Re-posted 19 days ago

Job description

Column Technical Services is seeking a seasoned Full Stack Python Developer with strong experience in FastAPI to join a high-performing agile team. This individual will design, build, and support scalable backend systems and APIs, while also contributing to broader full-stack initiatives that address complex business needs. Success in this role requires strong proficiency in Python, modern frameworks, database systems, and established engineering practices. If this opportunity aligns with your experience and interests, we encourage you to apply and begin the conversation with us.

This position does not provide sponsorship. Candidates must currently reside in the Chicagoland area.

Role Overview
This position is suited for a systems-minded professional who thrives in fast-moving environments and naturally leverages AI as a primary tool rather than a fallback. You will operate at the intersection of product and engineering, continuously experimenting and helping to deliver AI-driven solutions that perform effectively in real-world scenarios.
Your day-to-day work may range from implementing large language model integrations to reimagining how workflows function from the ground up. Frequent context shifts are part of the role?and are expected to energize, not disrupt, your productivity.

Key Responsibilities
  • Design and continuously refine AI-driven workflow systems using modern agent-based frameworks
  • Develop agent capabilities, supporting tools, and safeguards to ensure system reliability and predictability
  • Integrate and optimize large language model APIs (e.g., OpenAI, Anthropic) for performance and efficiency
  • Create evaluation frameworks to assess output quality and detect regressions early
  • Quickly prototype and validate new concepts through hands-on experimentation
  • Remain actively informed on advancements in AI and share relevant findings with the team
  • Partner with product managers and stakeholders to clarify requirements and translate them into technical solutions
  • Execute proof-of-concept initiatives to validate ideas and reduce implementation risk
  • Write high-quality, maintainable, and well-tested code aligned with defined acceptance criteria and compliance needs
  • Architect scalable components across data, application, and business layers
  • Diagnose and resolve technical issues throughout development and integration
  • Develop and maintain automated testing suites, including unit, integration, regression, and performance tests
  • Ensure solutions adhere to enterprise architecture standards across the development lifecycle

Required Skills & Qualifications
  • 2+ years of experience with cloud platforms such as Azure (or equivalent)
  • 2+ years working with open-source frameworks, including FastAPI and FastLLM
  • 2+ years of hands-on experience with Agile delivery practices
  • Highly adaptable with a genuine interest in staying current in a rapidly evolving AI landscape
  • Action-oriented mindset, with a preference for testing and iterating rather than over-planning
  • Strong familiarity with AI tools and a forward-thinking approach to their application
  • Ability to quickly learn new technologies and frameworks independently
  • Demonstrated experience building and deploying high-scale, distributed transactional systems
  • Strong proficiency in Python and FastAPI (or similar asynchronous frameworks)
  • Practical experience working with relational databases, such as Microsoft SQL Server
  • Exposure to large language model integrations (OpenAI, Anthropic, etc.)
  • Understanding of RESTful API design and backend development fundamentals
  • Experience with Git and collaborative version control workflows
  • Familiarity with testing frameworks like pytest or unittest
  • Experience working within Agile methodologies (Scrum or Kanban) and understanding of SDLC processes
  • Solid grasp of database design, querying, and data access patterns
  • Experience developing applications using modular, component-based frameworks
  • Strong communication skills, with the ability to collaborate across technical and non-technical audiences
  • Commitment to modern development practices for enterprise application delivery
  • Experience supporting production releases, including deployments, patches, and enhancements
  • Ability to troubleshoot production issues and improve system performance and reliability