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Fastapi Developer Jobs in Anaheim, CA (NOW HIRING)

Senior Machine Learning Engineer

Costa Mesa, CA · On-site

$112K - $154K/yr

You'll collaborate with other engineers and researchers to develop, evaluate, and help deploy ... Experience with Python services (FastAPI/Flask), Docker, and AWS services (S3, Batch/EC2, ECR) is ...

Senior Data Engineer

Los Angeles, CA · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production ... Data: S3, Apache Iceberg, EMR, PySpark, Dagster, Kubernetes, Clickhouse, PostgreSQL, FastAPI ...

ML Engineer II

Aliso Viejo, CA · On-site

$52 - $57/hr

FastAPI preferred; background jobs (Celery/RQ/SQS/Kafka). * Engineering excellence: Docker, CI/CD, pytest, secure secrets, monitoring, performance tuning. Qualification And Education: * Prior ...

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... FastAPI or Express frameworks • Prior experience with distributed training using cloud ...

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems ... FastAPI or Express frameworks • Prior experience with distributed training using cloud ...

AI Architect

Torrance, CA · On-site

$65.75 - $86.75/hr

Implement structured output validation and schema enforcement using Pydantic FastAPI and JSON ... Programming Architecture Python 310 Async design modul ardistributed architecture microservices

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Fastapi Developer information

See Anaheim, CA salary details

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How much do fastapi developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for fastapi developer in Anaheim, CA is $55.32, according to ZipRecruiter salary data. Most workers in this role earn between $42.26 and $67.69 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.

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For Fastapi Developer jobs in Anaheim, CA, the most frequently searched job titles are:

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What cities near Anaheim, CA are hiring for Fastapi Developer jobs?

Cities near Anaheim, CA with the most Fastapi Developer job openings:

Infographic showing various Fastapi Developer job openings in Anaheim, CA as of June 2026, with employment types broken down into 70% Full Time, 26% Part Time, 2% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $115,060 per year, or $55.3 per hour.

Senior Machine Learning Engineer

Kinetic

Costa Mesa, CA • On-site

$112K - $154K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 15 days ago


Job description

About Kinetic
Kinetic Automation is building a network of automated repair centers for modern vehicles. The auto industry is transitioning from mechanically complex vehicles to mechanically simple ones with complex software and technology. Kinetic aims to be the primary infrastructure-as-a-service for servicing future vehicles with our robotic repair centers, powered by our proprietary software and AI. We are a strong team of experienced robotics + automotive + shared mobility enthusiasts who have worked in self-driving, mapping, lidar, motorsport, and ride-sharing. We are a venture backed startup (Series B) with a clear go-to-market strategy and meaningful revenue.
About the role
You will be a part of a small, production-minded ML team based in Orange County/Oakland. You'll collaborate with other engineers and researchers to develop, evaluate, and help deploy vision models for tasks like semantic/instance segmentation and object/damage detection across 2D and 3D data.
Experience & Skills Required
  • Deep ML / CV Fundamentals: You need hands-on experience training and evaluating deep models for segmentation and detection (PyTorch). You must understand how Transformer/LLM building blocks map to vision (ViT/DETR/Mask2Former) and have practical exposure to 2D/3D data, point clouds, and camera geometry
  • Curiosity & Strict Attention to Detail: You are obsessed with corner cases. You have a sharp eye for data anomalies, run rigorous ablations, keep meticulous experiment logs, and can clearly communicate trade-offs
  • AI-Empowered, Not AI-Dependent: We strongly encourage leveraging AI tools (Copilot, ChatGPT, Claude) to maximize your efficiency. However, you must 100% understand the underlying details of the code you ship. We are looking for strong independent thinkers and debuggers, not someone who simply passes along AI outputs without deep comprehension
  • Working knowledge of transformer and LLM building blocks applied to vision, including self-attention, positional encodings, tokenization, and mapping these ideas to vision models (e.g., ViT, DETR, Mask2Former)
  • Practical exposure to 3D/depth data, including familiarity with point clouds, camera geometry (intrinsics/extrinsics), basic calibration, and multi-view geometry
  • Proficiency in Python and the relevant tech stack: PyTorch, torchvision, Detectron2 or MMDetection/Segmentation, and Hugging Face Transformers
  • Experience with Python services (FastAPI/Flask), Docker, and AWS services (S3, Batch/EC2, ECR) is preferred.
  • Strong communication skills with the ability to write tidy PRs, experiment logs, and short design notes to ensure reproducibility

Responsibilities
  • The Work: Implement training loops, curate datasets, drive high-priority experiments, and partner with cross-functional teams to close feedback loops from edge cases
  • The Stack: PyTorch, Detectron2 / MMDetection / Segmentation, Hugging Face Transformers, Python (FastAPI), Docker, AWS
  • Collaborate on model development by implementing training loops, losses, augmentations, and evaluations using PyTorch
  • Keep current with the industry by summarizing relevant papers and PRs, and proposing small, testable improvements
  • Contribute to datasets by helping define labeling guidelines, curating splits, running quality checks, and maintaining data versioning
  • Run experiments to track metrics, perform ablations, write clear experiment notes, and present findings.
  • Provide production support by exporting models, writing basic inference code, adding tests, and assisting with performance profiling
  • Work cross-functionally, partnering with backend engineers on APIs, containers, and CI, and with ops/labeling teams on edge cases and feedback loops

Benefits
  • Competitive salary and equity package
  • Comprehensive health and dental insurance
  • Retirement savings plan.
  • Paid time off and holidays

Kinetic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, military status, or any protected attribute. We encourage qualified candidates from all backgrounds to apply and join us in our mission. If you require accommodation at any stage of the application process due to a disability, please let us know.