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Python Fastapi Developer Jobs in Tempe, AZ (NOW HIRING)

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 ...

Programmers.io

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Experience with modern web frameworks (e.g., Django, Flask, FastAPI, React, Angular, or Vue ... Exposure to Python ML libraries (e.g., scikit-learn, pandas, NumPy) for simple data processing or ...

Perficientcorp Inc

Python Data Engineer

Phoenix, AZ · On-site

... Developer We are hiring experienced Python Data Engineers / API Developers for enterprise-level ... PySpark & distributed data processing Python API development using FastAPI or Flask Google Cloud ...

IntraEdge

Engineer II Premium

Phoenix, AZ · On-site

$82K - $110K/yr

... Boot, Python, FastAPI - ReactJS, Svelte - PostgreSQL, NoSQL Db - PyTorch, TensorFlow/Keras ... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation ...

Eitacies Inc

Python Backend Engineer - APIs

Phoenix, AZ · On-site

Benefits: * 401(k) Python Backend Engineer - APIs Phoenix, AZ (Onsite 3 days/week - Hybrid) We are ... Strong Python experience (FastAPI, Flask, Django REST) * Deep understanding of REST API design ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Senior AI Python Engineer Location: Phoenix, AZ (Hybrid - 3 days onsite) Job Type: Long-Term ... Flask, FastAPI, Hugging Face, Triton Inference Server * pgVector, Milvus, Prometheus, Elasticsearch ...

OmegaHires

Gen AI Engineer with Python

Phoenix, AZ · On-site

Gen AI Engineer with Python We are looking for a Gen AI Engineer with strong expertise in Python ... Experience developing APIs using FastAPI, Flask, or Django. Experience with Docker, Kubernetes, Git ...

Do not use

Senior Python Software Engineer

Phoenix, AZ · On-site

$75K - $88K/yr

Senior Python Software Engineer Location: Vilnius, Lithuania (Hybrid) Department: Innovation ... Experience with asynchronous frameworks (Aiohttp, FastAPI, or similar). Tech Stack * Languages ...

Eitacies Inc

Senior Data Platform Engineer

Phoenix, AZ · On-site

$100K - $135K/yr

Develop REST APIs using FastAPI Python to support data services * Implement robust data quality and ... Strong Python programming skills * Production experience with Apache Spark PySpark * Experience ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire * Design and ... Python SQL Docker Kubernetes FastAPI Flask MLOps Machine Learning LLMs LangChain or similar ...

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How much do python fastapi developer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for python fastapi developer in Tempe, AZ is $56.15, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $63.80 per hour, depending on experience, location, and employer.

What is a Python FastAPI developer?

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 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.

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.

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Senior Python Backend Engineer

Phoenix, AZ • On-site

AIAEC LLC
See more jobs at AIAEC LLCexternal

Full-time

Re-posted 29 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).