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Fastapi Jobs in Illinois (NOW HIRING)

Hands on experience with frameworks like FastAPI, Django or Flask. • Experience with Python testing frameworks such as Pytest for unit and integration testing. • In-depth knowledge of core AWS ...

Proficiency in programming languages such as Python, FastAPI, Rest APIs, SQLAlchemy, HTML, JavaScript, C, and C++ * Familiarity with Linux, Git, and software debugging tools * Understanding of Agile ...

Senior AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Proven track record designing and developing scalable APIs and distributed services (FastAPI, PostgreSQL, Redis) * Deep understanding of cloud infrastructure (AWS Services, Bedrock), container ...

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Python (Django, FastAPI, Flask), microservices development, RESTful API design, Kubernetes, and Terraform. * Frontend: React, HTML5, CSS3, Typescript, JavaScript. * Database: SQL (e.g., PostgreSQL ...

Software Development Coop

Naperville, IL · On-site

$19.40 - $68/hr

Proficiency in programming languages such as Python, FastAPI, Rest APIs, SQLAlchemy, HTML, JavaScript, C, and C++ * Familiarity with Linux, Git, and software debugging tools * Understanding of Agile ...

FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot, ChatGPT Why ShyftOff This is a chance to join a fast-growing startup building a category-defining ...

Prior experience with backend development using frameworks such as Flask, FastAPI, or Django. * Experience working with relational databases such as PostgreSQL, including schema design and query ...

Data Engineer - 332427

Lake Forest, IL · On-site

$153K - $174K/yr

Architect and manage cloud-native data pipelines and containerized applications to ensure high availability and scalability, using AWS and Kubernetes and FastAPI for building lightweight data-focused ...

Experience with technologies such as Ansible, Django, FastAPI, Flask, Jenkins, Hashicorp Vault, Docker/Podman and Kubernetes would be beneficial * Previous experience in production management would ...

Data Engineer - 332427

Lake Forest, IL · Remote

$153K - $174K/yr

Architect and manage cloud-native data pipelines and containerized applications to ensure high availability and scalability, using AWS and Kubernetes and FastAPI for building lightweight data-focused ...

... FastAPI. * Workflow Automation: Familiarity with building or integrating workflow automation tools. * LLM Experience: Some background in working with Large Language Models (e.g., GPT-based systems ...

Data Engineer - 332427

Lake Forest, IL · Remote

$153K - $174K/yr

Architect and manage cloud-native data pipelines and containerized applications to ensure high availability and scalability, using AWS and Kubernetes and FastAPI for building lightweight data-focused ...

AI Workflow Engineer

Itasca, IL · On-site

$115K - $120K/yr

Build FastAPI/Node services that expose AI workflows behind secure APIs * Own CI/CD for workflow services; write tests, contract checks, and evals. Measure and improve * Instrument workflows with ...

Lead AI Engineer

Chicago, IL · On-site

$105K - $139K/yr

Python (and Java) mastery with distributed systems expertise; performance optimization (profiling, parallelization); architecture patterns (e.g., FastAPI, asyncio, Pydantic) • LLM & Agent Systems:

Experience with backend development with tools such as FastAPI for web frameworks and PostgreSQL/SQLAlchemy for databases  * Experience with cloud development, especially on GCP and AWS

Apply Early

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Fastapi information

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Illinois? The most popular types of Fastapi jobs in Illinois are:
What job categories do people searching Fastapi jobs in Illinois look for? The top searched job categories for Fastapi jobs in Illinois are:
What cities in Illinois are hiring for Fastapi jobs? Cities in Illinois with the most Fastapi job openings:
Infographic showing various Fastapi job openings in Illinois as of July 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.
Python AI Engineer (Local to Chicago Only)

Python AI Engineer (Local to Chicago Only)

Solution Partners, Inc.

Chicago, IL • On-site

Other

Posted 17 days ago


Job description

We are only considering candidates based in Chicago. First interview will be on site in the Chicago office with a technical assessment. Please do not apply if this first phase is not possible.

We are looking for an AI Engineer to design, develop, and deploy an intelligent, multilingual chatbot that helps users track their parcels seamlessly. The chatbot will integrate with Snowflake for data retrieval, leverage APIs or web scraping to fetch tracking updates from external systems and run as a containerized solution on Azure. We are seeking to hire an engineer who is passionate about building scalable, AI-powered applications. You’ll work at the intersection of backend development and AI integration, leveraging modern tools like LLMs, MongoDB, Docker, and best coding practices. You’ll be responsible for writing clean, efficient, and maintainable code while working closely product teams to deploy intelligent systems. We need a proactive, self-motivated leader who thrives in a dynamic environment.

Key Responsibilities

  • Design, develop, and maintain an AI-powered chatbot capable of handling multi-lingual conversations.
  • Implement Retrieval-Augmented Generation (RAG) workflows to improve response accuracy and reduce unnecessary LLM calls
  • Integrate AI and LLM tools (e.g., OpenAI, LangChain, Hugging Face) into real-world applications
  • Integrate chatbot with Snowflake to fetch tracking data using tracking IDs.
  • Develop web scraping and API connectors to external parcel tracking systems
  • Deploy and manage chatbot services on Azure using Docker containers.
  • Implement vector databases (e.g., Pinecone, FAISS, Chroma) for efficient context management and response caching.
  • Ensure code quality through best practices: clean code, testing, and code reviews.

Must-Have Skills

  • Programming: Strong proficiency in Python and relevant libraries (e.g., LangChain, FastAPI, BeautifulSoup, Requests
  • AI Tools & Frameworks: Experience with OpenAI, Hugging Face, or similar AI API''''''''''''''''s
  • RAG Implementation: Hands-on experience integrating LLMs with vector databases and retrieval pipelines
  • NLP: Strong understanding of prompt design, token usage, embeddings, and language model
  • Data Integration: Experience connecting with Snowflake or similar dataware houses.
  • Deployment: Knowledge of Docker and Azure container deployments.
  • Web Scraping & APIs: Experience building scrapers or integrating with third-party APIs
  • Version Control: Familiarity with Git and CI/CD pipelines
  • Strong communication skills — able to explain complex AI concepts in simple terms
  • Collaborative attitude and openness to feedback

Nice-to-Have Skills

  • Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex)
  • Exposure to multi-lingual NLP models or translation APIs