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

Cypress HCM

Sr. Full Stack Engineer

San Francisco, CA · On-site

$150 - $200/hr

Sr. Full Stack Engineer We're looking for a strong full stack engineer to join a collaborative ... React, TypeScript, Python, FastAPI GraphQL * Familiarity with data infrastructure and API ...

LHH US

Full Stack Product Engineer

San Francisco, CA

$160K - $240K/yr

LHH is seeking a Full-Stack Product Engineer to join our client's team in a full-time + hybrid-role ... You'll ship features end-to-end across our React/Vite/shadcn frontend and Python/FastAPI backend.

LHH US

Full Stack Product Engineer

San Francisco, CA

$160K - $240K/yr

LHH is seeking a Full-Stack Product Engineer to join our client's team in a full-time + hybrid-role ... You'll ship features end-to-end across our React/Vite/shadcn frontend and Python/FastAPI backend.

Ohalo

Senior Full Stack Engineer

South San Francisco, CA · On-site

$150K - $190K/yr

Develop and maintain backend services and APIs using Python (FastAPI) that support web, mobile, and ... Improve developer experience through better abstractions, tooling, CI/CD, and documentation.

Ohalo

Senior Full Stack Engineer

South San Francisco, CA · On-site

$150K - $190K/yr

Develop and maintain backend services and APIs using Python (FastAPI) that support web, mobile, and ... Improve developer experience through better abstractions, tooling, CI/CD, and documentation.

Ohalo

Senior Full Stack Engineer

South San Francisco, CA · On-site

$150K - $190K/yr

Develop and maintain backend services and APIs using Python (FastAPI) that support web, mobile, and ... Improve developer experience through better abstractions, tooling, CI/CD, and documentation.

Navier AI

Full Stack Engineer

San Francisco, CA

Our mission is to enable engineers to move beyond today's slow, manual design cycles by providing ... Solid backend development experience in Python (FastAPI, Flask, or Django preferred) * Familiarity ...

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All JobsPython Fastapi Developer JobsPython Fastapi Developer Jobs in Danville, CA

Python Fastapi Developer information

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$15

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How much do python fastapi developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python fastapi developer in Danville, CA is $68.59, according to ZipRecruiter salary data. Most workers in this role earn between $56.54 and $77.88 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 job categories do people searching Python Fastapi Developer jobs in Danville, CA look for? The top searched job categories for Python Fastapi Developer jobs in Danville, CA are:
What cities near Danville, CA are hiring for Python Fastapi Developer jobs? Cities near Danville, CA with the most Python Fastapi Developer job openings:
Python Fastapi Developer jobs near you

Full Stack Architect - Agentic AI

Relanto, Inc.

Fremont, CA • On-site

Other

Posted 7 days ago

Job description

Position: Full Stack Architect – Agentic AI
Location: Bay Area, CA (Hybrid)
Employment Type: Full-Time

 

Job Description:

We are seeking a highly skilled and client-facing Full Stack Architect with strong expertise in Python backend development, modern front-end frameworks, and Google Cloud Platform (Google Cloud Platform) to lead the design of next-gen Agentic AI solutions. In this role, you will architect intelligent, cloud-native applications that leverage LLMs, autonomous agents, and Google Cloud Platform-native services to deliver scalable AI capabilities for high-tech customers.

 

Responsibilities:

  • Architect and deliver end-to-end AI-powered solutions for high-tech clients using Google Cloud Platform-native components and Agentic AI frameworks.
  • Design scalable backend services using Python (FastAPI, Flask, or Django) and integrate them with LLMs and autonomous agent frameworks (LangChain, AutoGen, CrewAI).
  • Define solution architectures leveraging Google Cloud Platform services such as Vertex AI, BigQuery, Cloud Functions, Pub/Sub, Cloud Run, and Firestore.
  • Lead the design and implementation of frontend applications using React, Angular, or Vue, ensuring seamless UX/UI integration with AI capabilities.
  • Collaborate with clients, product managers, and engineering teams to capture business requirements and convert them into technical roadmaps.
  • Drive technical workshops, POCs, and architectural reviews focused on AI/ML and cloud transformation strategies.
  • Implement and optimize vector database integrations (e.g., Pinecone, Weaviate, FAISS) and embedding pipelines on Google Cloud Platform.
  • Define and enforce best practices in cloud-native DevOps, microservices, and CI/CD automation using Google Cloud Platform tools like Cloud Build, Artifact Registry, and Cloud Monitoring.
  • Provide architectural guidance and mentorship to distributed engineering teams following Agile delivery models.

 

Required Skills:

  • 10+ years of experience in full stack architecture and software engineering, ideally in high-tech product or platform environments.
  • Strong hands-on experience with Python backend frameworks (FastAPI, Flask, Django).
  • Proficient in frontend development using Angular with a solid understanding of UX patterns.
  • Hands-on experience with Agentic AI frameworks such as LangChain, AutoGen, or CrewAI.
  • Deep knowledge of LLM APIs (OpenAI, Claude, Gemini, Mistral) and prompt engineering strategies.
  • Solid experience with Google Cloud Platform services including Vertex AI, BigQuery, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud Run.
  • Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines.
  • Expertise in REST, GraphQL, microservices architecture, and API gateways.
  • Proficient in Docker, Kubernetes (GKE preferred), and CI/CD pipelines using Cloud Build or equivalent.
  • Strong communication skills and ability to engage with both technical and business stakeholders.
  • Experience working with Agile methodologies and distributed delivery teams.

Preferred skills:

  • Google Cloud Platform Certification (e.g., Professional Cloud Architect, Professional Data Engineer) is a strong plus.
  • Experience in CI/CD implementation on DevOps platforms (e.g., GitLab CI/CD, Cloud Build, Jenkins, or GitHub Actions).
  • Familiarity with multi-cloud deployments (AWS, Azure) in addition to Google Cloud Platform.

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