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Fastapi Python Jobs in Arizona (NOW HIRING)

GDH

AI Engineer

Phoenix, AZ · On-site

$60 - $67/hr

Develop and maintain AI-powered APIs using FastAPI to support scalable system access ... Strong proficiency in Python and SQL; experience with Java or JavaScript is a plus * Hands-on ...

New

IntraEdge

Engineer II Premium

Phoenix, AZ · On-site

$82K - $110K/yr

... Python, FastAPI - ReactJS, Svelte - PostgreSQL, NoSQL Db - PyTorch, TensorFlow/Keras, LangChain, NLP (NLTK, spaCy), pandas, Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud ...

Nuclearn

Software Engineer Internship

Phoenix, AZ

$25 - $35/hr

Experience building APIs with Python and FastAPI - you've stood up endpoints, handled validation, and worked with async patterns before * Familiarity with Docker and containerized environments - you ...

Genesis10

Software Engineer - Hybrid

Chandler, AZ · Hybrid

$55.06 - $63.06/hr

Experience in multiple frontend and backend languages (Python, JavaScript, Go, Java, and Bash scripting) * Expertise in Django, Flask, and FastAPI frameworks * Experience with multiprocessing ...

Photon

Technical Architect_Tempe,AZ

Anthem, AZ · On-site

Architect scalable, cloud-native, and event-driven backend ecosystems using Python (FastAPI) and AWS-native services. * Establish architecture standards, governance models, engineering principles ...

Photon

Technical Architect_Tempe,AZ

Anthem, AZ

Architect scalable, cloud-native, and event-driven backend ecosystems using Python (FastAPI) and AWS-native services. * Establish architecture standards, governance models, engineering principles ...

Greenberg Traurig, LLP

Automation Engineer

Phoenix, AZ · On-site

Required : • Strong proficiency in Python, including modern frameworks and libraries (e.g., FastAPI, Pydantic, asyncio, requests/httpx). • Demonstrated experience designing and deploying AI ...

New

Equity Methods

Staff Software Engineer

Scottsdale, AZ · On-site

Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers, backed by Postgres, Snowflake and DynamoDB for workflow state management and audit logging of agent ...

Equity Methods

Staff Software Engineer

Scottsdale, AZ · On-site

Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers, backed by Postgres, Snowflake and DynamoDB for workflow state management and audit logging of agent ...

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Fastapi Python information

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What are popular job titles related to Fastapi Python jobs in Arizona? For Fastapi Python jobs in Arizona, the most frequently searched job titles are:
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Fastapi Python jobs near you
AI Engineer

AI Engineer

GDH

Phoenix, AZ • On-site

$60 - $67/hr

Other

Posted yesterday

Job description

Role Summary
Develop, implement, and scale machine learning and generative AI solutions that deliver measurable business outcomes. This role blends strong software engineering expertise with hands-on experience building applications powered by modern AI frameworks and large language models. You will take models and AI systems from prototype through production release, with a focus on reliability, performance, and operational excellence.

Responsibilities

  • Build and deploy machine learning and deep learning models using production-ready engineering practices
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines, including embeddings, chunking strategies, and reranking
  • Integrate LLM APIs into application workflows and orchestration layers
  • Develop and maintain AI-powered APIs using FastAPI to support scalable system access
  • Operationalize ML pipelines, including monitoring and continuous performance evaluation in production
  • Use vector databases and semantic search techniques to improve retrieval quality and downstream results
  • Evaluate model and LLM performance using appropriate frameworks and testing approaches
  • Optimize AI-driven workloads for cost and latency while maintaining quality targets
  • Containerize services and support deployments using Docker and related best practices
  • Collaborate with cross-functional stakeholders to translate technical decisions into business impact

Qualifications

  • Strong proficiency in Python and SQL; experience with Java or JavaScript is a plus
  • Hands-on experience developing and deploying machine learning models, including deep learning solutions
  • Strong understanding of model selection, evaluation methods, and performance tuning
  • Experience building and deploying APIs with FastAPI
  • Familiarity with containerization and deployment using Docker
  • Experience integrating LLM APIs and using at least one orchestration framework such as LangChain or LangGraph
  • Exposure to enterprise AI platforms such as Azure ML, Snowflake Cortex, and/or MLflow
  • Knowledge of vector databases and semantic search techniques
  • Practical experience implementing RAG architectures, including embeddings, chunking, and reranking
  • Ability to communicate technical concepts clearly in a business context

Publishing Pay Range: $60.00 - $67.00 Hourly
This position is based in office and requires employee to work on-site.

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