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Fastapi Development Company Jobs in California (NOW HIRING)

Backend Engineer

San Francisco, CA · On-site

$120K - $200K/yr

Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus) As a Backend ... Annual company-paid retreats * Developmental bonuses: support for professional development ...

Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus) As a Backend ... Annual company-paid retreats * Developmental bonuses: support for professional development ...

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 ...

IBM is a leading company in AI-powered, cloud-native software solutions. In this role, you will ... Responsibilities : • Contribute to the full software development lifecycle: design ...

New

Software Engineer

San Francisco, CA · On-site

$125K - $175K/yr

Python, FastAPI, PostgreSQL, GCP. * Contribute to our jobs infrastructure (GKE-based, on-demand ... You're a Fit If * 3+ years of backend engineering experience, ideally at a product-first company

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AI Full Stack Developer / Architect (ON-SITE ONLY)

Woongjin, Inc

San Jose, CA • On-site

Contractor

Posted 11 days ago


Job description

Company Description

For More Open Positions Visit us at:
http://recruiting.woongjininc.com/


Our Mission
WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.

Job Description

We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.

Key Responsibilities

  • AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
  • ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
  • Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
  • Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.
  • MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.
  • Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.
  • Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products
Qualifications
  • Experience: Proven experience(5~8 yrs. for Middle Level & 9+ yrs. for Sr. Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications

  • Experience with generative AI and agentic architectures.
  • Understanding of data privacy and security in AI applications.
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Additional Information

All your information will be kept confidential according to EEO guidelines.

 *** NO C2C ***