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Fastapi Development Company Jobs in Cupertino, CA

... company scales. Responsibilities : • Scalable API Development: Design, build, and maintain robust, high-throughput APIs (FastAPI, Django, or Flask) capable of handling millions of requests. • ...

Full Stack Development. * Python. * React / Angular / Vue.js. * FastAPI / Flask / Django. * HTML5 ... company serving Fortune 500 companies, government agencies, and enterprise organizations across the ...

Full Stack Development. Python. React / Angular / Vue.js. FastAPI / Flask / Django. HTML5, CSS3 ... company serving Fortune 500 companies, government agencies, and enterprise organizations across the ...

Senior Product Engineer

Palo Alto, CA · On-site

$140 - $250/hr

Full-stack development with a focus on AI integration Candidate Requirements * Must be AI-native ... Experience with Python, FastAPI, and a background in B2B SaaS preferred * Top 15 school required if ...

Perform code reviews and mentor the development team with best practices * Make key design and ... Experience with Python and modern backend frameworks, especially FastAPI (with Pydantic and Uvicorn)

... development lifecycle. * ScenarioScout transforms large-scale driving data into actionable insights ... The engineer will also work on the Python/FastAPI backend powering high-throughput embedding search ...

About the Company: Alma is an AI company backed by leading VCs such as Bling Capital and Forerunner ... years of backend development experience. * Proficiency in Python, FastAPI, PostgreSQL ...

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Fastapi Development Company information

See Cupertino, CA salary details

$40.7K

$95.5K

$164.1K

How much do fastapi development company jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fastapi development company in Cupertino, CA is $95,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $111,700.00 per year, depending on experience, location, and employer.

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Cities near Cupertino, CA with the most Fastapi Development Company job openings:

AIML - Sr Backend Engineer, Data and ML Innovation

Socket.dev

Cupertino, CA • On-site

$180 - $240/hr

Other

Posted 4 days ago


Job description

DESCRIPTION

We are looking for a skilled Python Backend Engineer to join our development team. In this role, you will be responsible for building and maintaining the server-side logic. You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application. Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus. You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs. You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing. You have worked closely with project managers, UI/UX designers, and other cross functional stakeholders to deliver high quality work on-time. You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.

MINIMUM QUALIFICATIONS

Bachelor's degree in Computer Science or related field. 10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale. Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great. Proficient in REST API, Redis, VectorDB or other large scale data storage systems. In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.

PREFERRED QUALIFICATIONS

Experience in Data Engineering & ML domain & training lifecycle. Experience with large-scale data processing, distributed systems , microservices, various caching strategies, and performance optimization. Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions. Experience with cloud platforms like AWS or GCP Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools. Master or Ph.D. in a related field. Previous experience in a high-growth tech company or similar environment.

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