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Full Time Fastapi Jobs (NOW HIRING)

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and ... full time employees. This position is not available for independent contractors No applications ...

Sarian, Inc.

Python Developer

Pennington, NJ · On-site

$50.75 - $70/hr

Pennington, NJ Onsite position Fulltime position JD Skill: Python Developer Must Have Technical/Functional Skills: * Core Python, Flask, GraphQL, FASTAPI, React, MUI. * Next.JS, Remix, Tailwind.

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

Exton, PA Onsite Employment Type: Full-Time We are seeking a hands-on AI Lead Developer to ... Build scalable APIs and AI microservices using Python, FastAPI, andcloud-native architectures.

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How much do full time fastapi jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for full time fastapi in the United States is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.

What is a Full Time FastAPI developer?

A Full Time FastAPI developer is a software professional who specializes in building web APIs and backend services using the FastAPI framework, working as their primary occupation. FastAPI is a modern, high-performance web framework for Python known for its speed, ease of use, and automatic interactive documentation. These developers typically design, develop, and maintain robust APIs, integrate databases, ensure security, and collaborate with front-end and DevOps teams. Working full time means they dedicate a standard workweek (usually 40 hours) to these tasks, often as part of a larger development team.

What are the key skills and qualifications needed to thrive as a Full Time FastAPI Developer, and why are they important?

To thrive as a Full Time FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and web development concepts, often supported by a degree in computer science or related experience. Familiarity with FastAPI framework, SQL and NoSQL databases, Docker, and tools like Git is typically required, along with knowledge of deployment and testing systems. Problem-solving, collaboration, and effective communication are essential soft skills that help developers work efficiently with teams and address client requirements. These skills and qualities ensure robust, scalable, and maintainable web applications that meet business needs.

How does a Full Time FastAPI developer typically collaborate with frontend teams during the development process?

A Full Time FastAPI developer often works closely with frontend teams to ensure seamless integration between backend APIs and user interfaces. This collaboration usually involves regular meetings to clarify API requirements, sharing detailed API documentation, and coordinating on endpoint changes or feature rollouts. FastAPI's automatic documentation generation (like Swagger UI) also helps frontend developers test endpoints independently. Effective communication and iterative feedback are key to maintaining alignment and delivering robust, user-friendly applications.

What is the difference between Full Time Fastapi vs Full Time Django Developer?

AspectFull Time FastapiFull Time Django Developer
Required CredentialsBachelor's in CS, Python proficiency, API development experienceBachelor's in CS, Python proficiency, web development experience
Work EnvironmentBackend API development, microservices, cloud deploymentFull-stack or backend web development, CMS, web apps
Industry UsageTech startups, SaaS, microservices architectureWeb applications, content management systems, enterprise apps

Full Time Fastapi roles focus on building high-performance APIs and microservices using Python, often in cloud environments. Full Time Django Developer positions involve developing full-stack web applications with Django, including frontend and backend components. Both roles require Python skills but differ in scope and focus, with Fastapi emphasizing API performance and Django covering comprehensive web solutions.

More about Full Time Fastapi jobs
What cities are hiring for Full Time Fastapi jobs? Cities with the most Full Time Fastapi job openings:
What are the most commonly searched types of Fastapi jobs? The most popular types of Fastapi jobs are:
What job categories do people searching Full Time Fastapi jobs look for? The top searched job categories for Full Time Fastapi jobs are:
Full Time Fastapi jobs near you
Infographic showing various Full Time Fastapi job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.
Sr Data Scientist - Gen AI ML - New York / Jersey City

Sr Data Scientist - Gen AI ML - New York / Jersey City

Photon

Irving, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Job Description
Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.
Technical Stack:
LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.
Key Responsibilities:
Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
Containerize and deploy AI services via Docker to production environments.
Required Qualifications:
Hands-on experience building and deploying GenAI applications in a production setting.
Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
Experience with vector search, embedding models, and advanced data retrieval patterns.
Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
Familiarity with production-grade monitoring, API security, and CI/CD for ML.
Compensation, Benefits and Duration
Minimum Compensation: USD 79,000
Maximum Compensation: USD 276,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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