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AIAEC LLC

Senior Python Backend Engineer

Phoenix, AZ · On-site

Infrastructure & DevOps: Own the lifecycle of your services--from containerization with Docker to ... Python (FastAPI), Docker, Azure (preferred), OpenTelemetry, PostgreSQL Requirements: Technical ...

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / Contract Company: Performacentric About ...

Performacentric

Full Stack Developer

Indianapolis, IN · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / Contract Company: Performacentric About ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / Contract Company: Performacentric About ...

The Motley Fool

Senior Python Developer

$90 - $110/hr

We have recently modernized our commerce stack to Python, FastAPI, and Stripe, and we are currently ... The Python Developer plays a critical role in driving our commerce and communication infrastructure ...

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How much do python fastapi developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python fastapi developer 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.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

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

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

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Senior Python Backend Engineer

AIAEC LLC

Phoenix, AZ • On-site

Full-time

Posted 20 days ago

Job description

Description:

Why AIAEC?

You’ll be at the forefront of the "AI in AEC" revolution. We are a small, agile team where your architectural decisions directly impact how the built world is designed and constructed. If you enjoy solving "real-world" problems where code meets concrete, this is your spot.


As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC and our suite of AI-driven civil engineering tools. You won't just be writing APIs; you will be engineering the backbone that integrates complex engineering datasets with cutting-edge LLMs. You will bridge the gap between high-level AI research and production-grade software, ensuring our infrastructure is scalable, observable, and resilient.


Key Responsibilities:


? API Architecture: Design, develop, and maintain high-performance, asynchronous backend services using Python and FastAPI.

? AI Integration: Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows.

? Infrastructure & DevOps: Own the lifecycle of your services—from containerization with Docker to orchestration and deployment within Azure.

? Observability: Implement robust monitoring and distributed tracing using OpenTelemetry to ensure high availability and deep system insights.

? Database Integration: Review and optimize queries in PostgreSQL to handle complex spatial and relational data.

? Technical Leadership: Mentor junior developers, conduct rigorous code reviews, and drive engineering best practices (CI/CD, TDD, and Documentation).


Tech Stack: Python (FastAPI), Docker, Azure (preferred), OpenTelemetry, PostgreSQL

Requirements:

Technical Requirements:


  • Python Expertise: 5+ years of professional experience with Python, with a deep understanding of asyncio and performance profiling.
  • Frameworks: Mastery of FastAPI (including Pydantic, Dependency Injection, and Middleware).
  • Containerization: Solid experience with Docker.
  • Cloud & DevOps: Solid experience managing cloud infrastructure. While our stack is Azure-centric, strong experience with AWS or GCP is highly transferable and welcomed.
  • Observability: Practical experience with OpenTelemetry, Prometheus, or similar tools for tracking system health and performance.
  • Modern Tooling: Familiarity with Git-based workflows, CI/CD pipelines (Azure DevOps or
  • GitHub Actions), and automated testing suites.

Nice to Haves:

  • Experience with OpenAI API, LangChain, or LlamaIndex.
  • Background or interest in Civil Engineering, BIM (Building Information Modeling), or CAD software integration.
  • Experience with Vector Databases (e.g., Pinecone, Weaviate, or pgvector).