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Fastapi Developer Jobs in Glendale, AZ (NOW HIRING)

Python AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Python AI Engineer Location: Salt Lake City, UT or Phoenix, AZ or Sunrise, FL Worksite: Onsite ... Architect and implement backend services in Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and ...

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 ...

Junior AI Engineer Location: Phoenix, AZ Job Type: Only W2 · Develop and deploy AI/ML models for ... REST APIs / FastAPI · SQL and database fundamentals · Git/GitHub · Linux · Docker · Cloud ...

Sr. Full Stack Engineer

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, build, and maintain scalable full stack applications using Python (FastAPI) and React.js ... Collaborate with Product Management, UX, DevOps/SRE, and QE teams to deliver well-rounded ...

Lead Gen AI Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

Lead Gen AI Engineer **Job Role:** Lead Gen AI Engineer with Python **Location:** Phoenix, AZ ... using FastAPI, Flask, or Django. - Experience with Docker, Kubernetes, Git, CI/CD, and cloud ...

Sr. Full Stack Engineer

Tempe, AZ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, build, and maintain scalable full stack applications using Python (FastAPI) and React.js ... Collaborate with Product Management, UX, DevOps/SRE, and QE teams to deliver well-rounded ...

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 ...

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 ...

.Net FSD

Phoenix, AZ · On-site

$110K - $125K/yr

.Net FSD Roles & Responsibilities Full Stack Engineering • Strong experience in .NET / C# ... using FastAPI, Node.js, or .NET Web API (as referenced in WAB full stack JD) • Database ...

Spring/SpringBoot, FastAPI Front End Technologies: Angular/React Deployment Technologies: Kubernetes, Docker Source Control: GitHub, Azure DevOps CICD: GitHub Actions, Azure DevOps Data management:

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

Principal Software Engineer

Chandler, AZ · On-site

$130K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Principal Software Engineer

Chandler, AZ · On-site

$130K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

They are seeking a Staff Software Engineer to collaborate with financial consultants in redesigning ... FastAPI as the primary compute layers, backed by Postgres, Snowflake and DynamoDB for workflow ...

Showing results 21-40

Fastapi Developer information

See Glendale, AZ salary details

$15

$46

$72

How much do fastapi developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for fastapi developer in Glendale, AZ is $46.85, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $57.31 per hour, depending on experience, location, and employer.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

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

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

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

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

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Job Title: Python AI Engineer
Location: Salt Lake City, UT or Phoenix, AZ or Sunrise, FL
Worksite: Onsite
About WCT
WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world's most innovative companies. As a WCT employee, you'll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution.
Job Summary
  • We are hiring a Python Platform Engineer to operate and evolve the infrastructure behind an enterprise knowledge base platform that is moving from a Confluence-focused RAG chatbot into a broader agentic knowledge system.
  • Today, the platform supports Confluence/GitHub ingestion → chunking → pgvector → RAG retrieval → FastAPI serving. Over the next phase, we are expanding toward hybrid retrieval (vector + sparse + graph), multi-source ingestion, evaluation pipelines, agent infrastructure, harness and shared chat platform primitives.

What You'll Own:
  • Architect and implement backend services in Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg
  • Design retrieval and orchestration trade-offs around quality, latency, cost, safety, and operational simplicity
  • Build production-grade agent runtime capabilities: memory boundaries, tool sandboxing, permissions, and budget controls
  • Improve answer grounding, failure analysis, and citation enforcement rather than optimizing for demo behavior
  • Create observability and operational feedback loops with OpenTelemetry, Prometheus/Grafana, Docker/Helm, and GitHub Actions
  • Work closely with product and engineering partners to support multiple conversational surfaces through one knowledge platform
  • Ingestion infrastructure across current and future content sources
  • Observability across application, pipeline, database, and model-serving behavior
  • Cost, latency, throughput, and failure-mode management for AI-heavy workloads
  • Release workflows that validate AI behavior changes, not just code compilation

Qualifications:
  • Strong hands-on experience with Python in platform, automation, or infrastructure-heavy environments
  • Experience building CLI tools using Python, Golang or Rust.
  • Hands-on experience with LangGraph, LangChain, pgvector, and modern retrieval pipelines
  • Experience designing evaluation frameworks for LLM-backed systems, including regression detection and quality measurement
  • Strong experience with Docker, Helm, GitHub Actions, and Kubernetes-oriented workflows
  • Familiarity with the operational characteristics of embedding pipelines, vector search, and LLM-backed systems
  • Strong observability skills across metrics, tracing, dashboards, alerting, and log analysis
  • Experience with ingestion, ETL, or content-processing pipelines at scale
  • Ability to think in terms of reliability, cost, latency, throughput, and recovery

Nice to Have:
  • Experience with Qdrant, Neo4j, or other vector/graph infrastructure
  • Experience supporting RAG, search, evaluation, or agent platforms
  • Experience in enterprise or regulated environments
  • Familiarity with Vault, Splunk, Artifactory, ECR
  • Comfort using AI-assisted engineering workflows in day-to-day work

Compensation / Salary Range: The typical pay range for this role is: USD $110,000/Yearly - $125,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment.
WCT will accept applications and processes offers for these roles until the role is filled.
Equal Employment Opportunity Declaration:
WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.