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Fastapi Developer Jobs in Belmont, CA (NOW HIRING)

Overview We are seeking an enthusiastic Senior AI Engineer to join our team and contribute to the ... Architect, optimize, and maintain high-performance, asynchronous orchestration layers (FastAPI ...

Senior Product Engineer

Palo Alto, CA · On-site

$140 - $250/hr

Experience with Python, FastAPI, and a background in B2B SaaS preferred * Top 15 school required if under 2 years of experience Company Context * Transitioning all engineers to full-stack roles

Job Title : Full Stack Software Developer Position Description : Protingent Staffing has an ... FastAPI), Laravel (PHP) - Database design and implementation (Postgres and NoSQL). • AI/ML ...

... FastAPI), Laravel (PHP). • Database design and implementation (Postgres and NoSQL). 2. AI/ML ... Familiarity with DevOps tools (Jenkins CI/CD). Education: Bachelor's degree in computer science ...

Full Stack Developer

San Jose, CA · On-site

$80 - $90/hr

... Django, FastAPI), Laravel (PHP). Database design and implementation using PostgreSQL and NoSQL ... Work with DevOps teams to ensure smooth application deployment and scalability. Required ...

MTS

Palo Alto, CA · On-site

$180K/yr

About Attention Engineering The gap between how top engineers around the world use AI systems today ... PostgreSQL, Redis, Pub/Sub, FastAPI * Infrastructure, Cloud Platform & Reliability: GCP, Terraform ...

... developer tools, marketplace, billing, admin) • Develop high-performance UIs using React • Design and implement APIs and backend services using Python (FastAPI) and/or Node.js • Define clean ...

Required : • 4+ years of professional software engineering experience • Experience with ... FastAPI, or similar) • Worked with relational databases (Postgres) and data stores like S3 or ...

The engineer will also work on the Python/FastAPI backend powering high-throughput embedding search and bulk operations, and contribute to the React.js frontend for UI-driven pipeline management ...

Experience building APIs with modern Python frameworks (FastAPI, Django, etc.) * Experience ... Rapidly apply LLM techniques: prompt engineering, fine-tuning, RAG * Stay current with generative ...

Role We're hiring a Product Engineer to join our team and help us scale reliably as we grow. As we ... You'll work across our FastAPI (Python) / Postgres / React stack, touching everything from schema ...

Resource Logistics Inc. is seeking a Python Engineer to build the backbone of their platform. The ... Design, build, and maintain robust, high-throughput APIs (FastAPI, Django, or Flask) capable of ...

Python, FastAPI * Frontend: TypeScript, React, Next.js * AI/ML: OpenAI models (GPT-4o, o3, o4-mini, etc.) * Databases: PostgreSQL, Firestore (GCP) * Infrastructure: Docker, Kubernetes, GCP, Microsoft ...

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Python, LLM APIs, FastAPI As the Backend LLM Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing ...

Showing results 21-40

Fastapi Developer information

See Belmont, CA salary details

$20

$63

$98

How much do fastapi developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for fastapi developer in Belmont, CA is $63.91, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $78.22 per hour, depending on experience, location, and employer.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.
What cities near Belmont, CA are hiring for Fastapi Developer jobs? Cities near Belmont, CA with the most Fastapi Developer job openings:

Senior Al Engineer - India

Namely

Mountain View, CA • On-site

$120 - $160/hr

Other

Posted 4 days ago


Job description

Overview

We are seeking an enthusiastic Senior AI Engineer to join our team and contribute to the development of intelligent talent technology. This is a hands‑on opportunity for those early in their career to gain experience with AI and machine learning in a real‑world, enterprise SaaS environment. You will work alongside experienced engineers and learn how large language models, recommender systems, and other AI solutions enhance the workplace.

Responsibilities
  • Architect, optimize, and maintain high-performance, asynchronous orchestration layers (FastAPI) integrated with advanced inference servers (vLLM, Triton Inference Server) to host and serve open‑source models efficiently.
  • Build and maintain an advanced semantic caching layer and dynamic routing engine that evaluates inbound prompts and dispatches them to the most cost‑effective or lowest‑latency model (managed services vs. self‑hosted) based on intent and token volume.
  • Operationalize and maintain consistent deployments across three primary geographical regions, managing asymmetrical environment topologies (single‑region Dev environments vs. globally distributed production clusters).
  • Implement enterprise‑grade rate‑limiting, secure payload routing, and advanced telemetry dashboards using Prometheus and Grafana to track token consumption, error rates, and custom system metrics for internal departmental chargebacks.
Qualifications
  • Bachelor's or Master's degree in Computer Science or a related field.
  • 6–8 years in backend platform engineering, systems architecture, or MLOps/LLMOps infrastructure design.
  • Expert‑level Python skills with deep experience in concurrent/asynchronous programming patterns (FastAPI, Asyncio).
  • Hands‑on experience with AWS Bedrock, prompt/model routing architectures, embedding generation, and hosting/serving open‑source models from Hugging Face.
  • Proficiency with core AWS services (EKS, IAM, VPC), containerization (Docker, Kubernetes).
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