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

Python (FastAPI or Django). * Java. * Node.js. * TypeScript. * Experience with a modern front-end ... Prompt engineering and prompt templating. * AI-powered search. * Summarization or classification ...

Senior Data Platform Engineer

Phoenix, AZ ยท 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 ...

Senior Data Platform Engineer

Phoenix, AZ ยท On-site

$105K - $143K/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 ...

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 ...

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 ...

Ai Engineer

Phoenix, AZ ยท On-site

$60 - $65/hr

Description Sr. Engineer - Artificial Intelligence to help design and build impactful, intelligent ... Python โ€ข Frameworks & Libraries: Flask, FastAPI, TensorFlow, PyTorch, scikit-learn โ€ข AI & GenAI:

New

Ai Engineer

Phoenix, AZ ยท On-site

$60 - $65/hr

Description Sr. Engineer - Artificial Intelligence to help design and build impactful, intelligent ... Python โ€ข Frameworks & Libraries: Flask, FastAPI, TensorFlow, PyTorch, scikit-learn โ€ข AI & GenAI:

New

Senior Software Engineer

Phoenix, AZ ยท On-site

$121K - $160K/yr

Advanced proficiency in Python, alongside modern web frameworks (FastAPI, gRPC) and relational ... S. or M.S. in Computer Science, Software Engineering, Applied Mathematics, or a related ...

New

Senior Software Engineer

Phoenix, AZ ยท On-site

$121K - $160K/yr

Advanced proficiency in Python, alongside modern web frameworks (FastAPI, gRPC) and relational ... S. or M.S. in Computer Science, Software Engineering, Applied Mathematics, or a related ...

Senior Software Engineer (Remote)

Phoenix, AZ ยท Remote

$121K - $160K/yr

... developer-facing security tooling. * Knowledge of production monitoring, incident response ... Experience with Golang or Python and familiarity with frameworks such as Flask or FastAPI.

AWS Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

At least 2+ years of experience in Pythonand Python Frameworks e.g. Django, FastAPI etc. Requirements * Hands-on experience on ELK stack withexperience in building logstash pipeline for a high-volume ...

Description Staff Software Engineer Equity Methods is seeking a Staff Software Engineer to join our ... Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers ...

Staff Software Engineer Equity Methods is seeking a Staff Software Engineer to join our Technology ... Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers ...

Infrastructure and DevOps Architect

Phoenix, AZ ยท On-site

$65.75 - $86.75/hr

... using Python and/or Bash scripting for automation, operational workflows, and API integrations ... Experience with FastAPI or Flask for backend web API development. * MongoDB, MariaDB, MySQL or ...

Principal Software Engineer

Chandler, AZ ยท On-site

$130K - $174K/yr

... Python data and automation services (FastAPI, Pandas, NumPy, Airflow), event streaming with Apache ... Experience with internal developer platforms, platform engineering, or developer experience (DX ...

Principal Software Engineer

Chandler, AZ ยท On-site

$130K - $174K/yr

... Python data and automation services (FastAPI, Pandas, NumPy, Airflow), event streaming with Apache ... Experience with internal developer platforms, platform engineering, or developer experience (DX ...

Showing results 21-40

Python Fastapi Developer information

See Tempe, AZ salary details

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How much do python fastapi developer jobs pay per hour?

As of Sep 15, 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.

What are popular job titles related to Python Fastapi Developer jobs in Tempe, AZ?

For Python Fastapi Developer jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Python Fastapi Developer jobs in Tempe, AZ look for?

The top searched job categories for Python Fastapi Developer jobs in Tempe, AZ are:

What cities near Tempe, AZ are hiring for Python Fastapi Developer jobs?

Cities near Tempe, AZ with the most Python Fastapi Developer job openings:

AI Application Developer

Tempe, AZ โ€ข On-site

MGRM
IT Servicesย โ€ขย 1 - 5K employees

Full-time

Posted 9 days ago


Job description

MGRM Pinnacle Inc.
Location: Tempe, Arizona
Work Arrangement: This is a full-time, on-site position. Remote work is not available for this role.

About the Role:
MGRM Pinnacle Inc. is seeking an experienced AI Application Developer to design, build, and deliver complete AI-enabled applications across our healthcare, education, compliance, and citizen-facing technology platforms.
This is not a role focused solely on adding AI features to existing applications. We are looking for a strong software engineer who can think across the entire application—from architecture, backend services, APIs, and data models to front-end user experience—and determine how AI should be integrated into the product from the ground up.
The ideal candidate combines solid full-stack application development experience with hands-on experience building applications that use large language models (LLMs), retrieval-augmented generation (RAG), AI assistants, summarization, classification, or agentic workflows.

Key Responsibilities
End-to-End Application Development:
  • Design and build complete AI-enabled applications from architecture through deployment.
  • Develop backend services, APIs, data models, and user-facing application components.
  • Build responsive front-end experiences using modern frameworks such as React, Vue, or Angular.
  • Integrate new applications with existing enterprise systems and shared data sources.
  • Translate business and operational requirements into secure, scalable technical solutions.

AI & LLM Development:
  • Build AI capabilities including RAG-based search, summarization, classification, copilot-style assistants, and multi-step agentic workflows.
  • Integrate applications with locally hosted and enterprise-managed LLM environments.
  • Design, test, version, and improve production prompt templates.
  • Develop evaluation methods and test sets to measure AI output quality and reliability.
  • Identify and mitigate hallucination, accuracy, latency, context-window, and other LLM-related risks.

Secure & Reliable Development:
  • Develop applications in accordance with established security and data-classification requirements.
  • Follow secure coding practices and build applications capable of passing automated security and code-quality checks.
  • Write unit and integration tests to support reliable releases.
  • Follow appropriate secrets-management and credential-handling practices.
  • Maintain clear technical documentation for the applications you develop.

Collaboration & Product Ownership:
  • Work with product, engineering, compliance, healthcare, education, and other stakeholders to translate business needs into working applications.
  • Take ownership of assigned applications and features from initial design through testing and release.
  • Participate in code reviews, technical design discussions, and Agile/Scrum development processes.
  • Support documentation and evidence requirements for applications operating in regulated environments.

Required Qualifications:
  • Approximately 5 years of professional software engineering experience, including experience building and shipping production applications.
  • At least 2 years of hands-on experience developing AI/LLM-based applications.
  • Experience developing across the application stack, including backend services, APIs, databases, and front-end interfaces.
  • Strong programming experience with one or more of the following:
    • Python (FastAPI or Django).
    • Java.
    • Node.js.
    • TypeScript.
  • Experience with a modern front-end framework such as React, Vue, or Angular.
  • Experience designing or consuming REST and/or GraphQL APIs.
  • Experience working with SQL databases and at least one NoSQL data store.
  • Experience with Git-based development workflows, unit testing, and integration testing.
  • Hands-on experience building at least one meaningful AI-based application using an LLM in production or in a substantial production-oriented prototype.

AI Experience We Are Looking For:
Candidates should have practical experience with one or more of the following:
  • Retrieval-Augmented Generation (RAG).
  • Prompt engineering and prompt templating.
  • AI-powered search.
  • Summarization or classification applications.
  • Copilot-style assistants.
  • Agentic or multi-step AI workflows.
  • LangChain, LlamaIndex, or similar orchestration frameworks.
  • Vector databases such as pgvector, Qdrant, or Milvus.
  • Ollama, vLLM, or similar model-serving environments.
  • Evaluating LLM output for quality, accuracy, and hallucination risk.

Please note: Using ChatGPT or an AI coding assistant to help write code is not, by itself, the type of AI development experience we are seeking. Candidates should be able to discuss an application they have built that actually calls and uses an AI model as part of the product.

Additional Skills That Are Helpful:
Experience in any of the following areas is beneficial but not required:
  • Docker.
  • GitHub Actions or GitLab CI.
  • Postman or API testing.
  • Kubernetes fundamentals.
  • Kong API Gateway.
  • OWASP Top 10 and OWASP LLM Top 10.
  • Healthcare technology or HL7/FHIR APIs.
  • Government or e-governance applications.
  • Regulated or sensitive-data environments.
  • ISO/IEC 27001 or ISO/IEC 42001.
  • CMMI-aligned software development environments.

Who Will Be Successful in This Role:
You may be a strong fit if you:
  • Think about the complete application rather than only the AI model or feature.
  • Have personally built an AI-enabled application and can explain its architecture, data flow, AI components, and user experience.
  • Enjoy solving the practical challenges of LLM applications, including hallucination, latency, evaluation, context limits, and reliability.
  • Are comfortable owning an application from initial requirements through development, testing, and release.
  • Approach prompt development with the same discipline as software development—testing, versioning, reviewing, and documenting changes.
  • Can work with both technical and non-technical stakeholders to turn an idea or business requirement into a practical working application.
  • Value secure, well-documented development practices, particularly when working with sensitive or regulated information.

About MGRM Pinnacle Inc.:
MGRM Pinnacle Inc. is part of MGRM Group, a multi-domain organization with technology and service initiatives spanning healthcare, education, compliance, e-governance, and related digital platforms.
Our technology teams develop and support platforms serving complex operational environments where security, reliability, usability, and responsible use of AI are critical.

How to Apply:
Please submit your resume along with a brief description of one AI-based application you have built or significantly contributed to.
In your response, briefly tell us:
  • What problem the application solved.
  • What you personally built or were responsible for.
  • What AI model(s), framework(s), or tools you used.
  • How the AI functionality was incorporated into the overall application.
  • What you learned from the project or would approach differently today.

A traditional cover letter is not required.

Applications that clearly demonstrate hands-on AI application development experience will receive priority consideration.