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Fastapi Python Jobs in Pasadena, CA (NOW HIRING)

Regard

Data Engineer

Los Angeles, CA · Remote

$160K - $190K/yr

Data: S3, Apache Iceberg, EMR, PySpark, Dagster, Kubernetes, Clickhouse, PostgreSQL, FastAPI ... Proficiency in Python and SQL * Experience working with distributed data processing frameworks such ...

Regard

Senior Data Engineer

Los Angeles, CA · Remote

$165K - $220K/yr

Data: S3, Apache Iceberg, EMR, PySpark, Dagster, Kubernetes, Clickhouse, PostgreSQL, FastAPI ... Strong proficiency in Python and SQL * Hands-on experience across the full data stack, with ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... Python for data analysis. Preferred : • Experience working with numerical solvers for complex ... FastAPI. • Front-end experience in React or similar JavaScript UI frameworks. • Database ...

East West Bank

Senior AI Engineering

Pasadena, CA

$114K - $156K/yr

Build production-grade services and APIs using Python, FastAPI or Flask, Azure OpenAI, Azure ML, Databricks, ADLS, and modern cloud-native patterns. * Integrate AI capabilities into enterprise ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... Python for data analysis. • Ability to work extended hours and weekends as necessary. • Ability ... FastAPI. • Front-end experience in React or similar JavaScript UI frameworks. • Database ...

Commure

Staff Backend Engineer

Los Angeles, CA · On-site

$200K - $250K/yr

Build and operate services using Python, Go, FastAPI, Flask, Kubernetes, and cloud-native technologies. What You Have * Bachelor's degree in Computer Science, Engineering, or equivalent practical ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... Python for data analysis. • Ability to work extended hours and weekends as necessary. • Ability ... FastAPI. • Front-end experience in React or similar JavaScript UI frameworks. • Database ...

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Fastapi Python information

See Pasadena, CA salary details

$14

$63

$94

How much do fastapi python jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for fastapi python in Pasadena, CA is $63.94, according to ZipRecruiter salary data. Most workers in this role earn between $52.69 and $72.64 per hour, depending on experience, location, and employer.

Do any big companies use Fastapi Python?

Several large companies and tech organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Companies like Microsoft, Netflix, and Uber have adopted FastAPI in some of their projects, often leveraging its asynchronous capabilities and compatibility with modern Python features.

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 Pasadena, CA? For Fastapi Python jobs in Pasadena, CA, the most frequently searched job titles are:
What job categories do people searching Fastapi Python jobs in Pasadena, CA look for? The top searched job categories for Fastapi Python jobs in Pasadena, CA are:
What cities near Pasadena, CA are hiring for Fastapi Python jobs? Cities near Pasadena, CA with the most Fastapi Python job openings:
Fastapi Python jobs near you

AI Application engineer

Inficare Technologies

Santa Clarita, CA • On-site

Full-time

Re-posted 4 hours ago

Job description

Role - AI Application engineer
Location - Santa Clara, CA (Onsite)
Duration - 12+ months
Need candidate to Prepare , Complete Coding assessment
AI Application engineer who understands data as well as application ; primary databricks and secondary snowflake
Description
Key Responsibilities
  • Design and develop AI-powered applications using machine learning, generative AI, and data-driven services.
  • Integrate ML models, LLMs, and AI services into web, mobile, and enterprise applications.
  • Build production-grade APIs and microservices to serve AI predictions and insights.
  • Collaborate with data scientists and ML engineers to operationalize models.
  • Implement prompt engineering, model orchestration, and inference pipelines.
  • Ensure performance, scalability, security, and reliability of AI applications.
  • Work on real-time and batch AI inference use cases.
  • Implement observability and monitoring for AI behavior and application health.
  • Handle model versioning, rollback strategies, and A/B testing.
  • Ensure compliance with data privacy, responsible AI, and governance standards.
  • Participate in architecture reviews and contribute to AI application best practices.
  • Troubleshoot application and inference issues in production environments.
  • Mentor junior developers and contribute to technical documentation.

Required Skills & Qualifications
Application Development
  • 5-6 years of experience in application development or software engineering.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Experience with backend frameworks (FastAPI, Flask, Django, Node.js).
  • Strong understanding of REST APIs, microservices, and system design.
  • Experience with frontend frameworks is a plus (React, Angular, Vue).

AI & Machine Learning
  • Hands-on experience integrating ML models and AI services into applications.
  • Understanding of ML lifecycle, inference patterns, and model usage.
  • Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face).
  • Knowledge of prompt engineering, context management, and RAG (Retrieval-Augmented Generation).
  • Familiarity with embeddings and vector search.

Data & Backend Integration
  • Strong SQL skills and experience with databases (relational & NoSQL).
  • Experience integrating with data pipelines, feature stores, and analytics systems.
  • Knowledge of APIs, caching layers, and messaging systems (Kafka, RabbitMQ).

Cloud & DevOps
  • Hands-on experience with cloud platforms (AWS / Azure / GCP).
  • Experience deploying AI applications using Docker & Kubernetes.
  • Familiarity with CI/CD pipelines.
  • Experience with cloud-native AI services is a plus.

Apply