1

Python Fastapi Developer Jobs in Torrance, CA (NOW HIRING)

Senior Software Engineer

Los Angeles, CA · On-site

$132K - $174K/yr

As a Senior Software Engineer, you will design, develop, and maintain backend APIs and frontend ... Required : • Advanced knowledge of Python and related frameworks (FastAPI, NumPy, Pandas ...

We are seeking a Python developer / solutions architect to drive forward our next-gen model production platform. If you can connect the dots between Pandas / Polars, FastAPI, Docker, and Kubernetes ...

Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn * Proven experience ... Experience deploying models using API frameworks such as FastAPI or Flask * Knowledge of MLOps ...

next page

Showing results 1-20

Python Fastapi Developer information

See Torrance, CA salary details

$13

$61

$90

How much do python fastapi developer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for python fastapi developer in Torrance, CA is $61.21, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

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 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 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 popular job titles related to Python Fastapi Developer jobs in Torrance, CA? For Python Fastapi Developer jobs in Torrance, CA, the most frequently searched job titles are:
What job categories do people searching Python Fastapi Developer jobs in Torrance, CA look for? The top searched job categories for Python Fastapi Developer jobs in Torrance, CA are:
What cities near Torrance, CA are hiring for Python Fastapi Developer jobs? Cities near Torrance, CA with the most Python Fastapi Developer job openings:
Infographic showing various Python Fastapi Developer job openings in Torrance, CA as of July 2026, with employment types broken down into 82% Full Time, 8% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $127,323 per year, or $61.2 per hour.
Manager of Data Engineering (Hands-On / Python)

Manager of Data Engineering (Hands-On / Python)

Search Solutions

Los Angeles, CA • Remote

$160K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


Job description

The Manager of Data Engineering is a hands-on role and will be the primary architect and technical lead for the data infrastructure powering our next-generation Agentic AI products. Acting as a hands-on leader, you are responsible for the team’s overall delivery, translating complex product requirements into actionable technical tasks for a small engineering squad. You will design the multi-modal data stores (Vector and Graph) that serve as the "Active Memory" for autonomous agents while remaining deeply embedded in the codebase to drive execution.

Key Responsibilities

● Technical Execution: Lead the technical delivery by translating high-level product roadmaps into actionable development cycles. You will own the task breakdown and manage the workflow to ensure high-quality output from the team

● Strategic Data Architecture: Architect and directly implement multi-modal data pipelines that process structured parts catalogs and unstructured sources (PDFs, Word, PNG/SVG diagrams) into specialized Vector and Graph data stores.

● Knowledge Layer Development: Design and optimize the storage of embeddings in Vector Databases (e.g., Pinecone, ChromaDB, Vertex AI Search) and Graph Databases (e.g., FalkorDB, Neo4j) to enable multi-step agentic reasoning across disparate data sources.

● Agent-Driven Development: Deeply integrate autonomous coding agents into your daily workflow to plan, generate, and refactor data infrastructure and microservices.

● Evaluation Pipelines: Collaborate with AI Engineers to build "Gold Dataset" pipelines used for the automated verification, retrieval quality measurement, and "confidence scoring" of AI outputs.

● Microservices: Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to provide structured, validated data.

● Cloud Operations: Deploy and monitor high-scale data workloads on GCP (Vertex AI, BigQuery), ensuring system reliability, security, and cost-effectiveness


Skills and Experience


10+ years of Software/Data Engineering experience, with a proven history of leading technical teams.

Proven track record of designing and building production-grade AI data systems.


Technical Stack: Advanced Python (FastAPI, Pydantic, SQLAlchemy) and SQL mastery for building scalable microservices.

AI: Hands-on experience with Vector Databases (Pinecone, ChromaDB), RAG pipelines, and GraphRAG patterns.

Data Tooling: Deep experience with Prefect (preferred) or Apache Airflow or Cloud Composer, BigQuery, and DataProc.

Cloud Infrastructure: Experienced in working with cloud platforms (GCP, AWS) and deploying data workloads and pipelines at scale.

Coding Agent: Demonstrated proficiency in using coding agents to accelerate the SDLC and plan and code complex engineering tasks.