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Fastapi Developer Jobs in Pennsylvania (NOW HIRING)

Srinav Inc.

AI Software Developer

Plymouth Meeting, PA · On-site

AI Software Developer Location: Plymouth Meeting, PA/NY/NJ/CT Duration: Longterm Your future duties ... Advanced Python development experience, including FastAPI or similar frameworks for AI service ...

3B Staffing LLC

CI/CD Developer

Pittsburgh, PA · On-site

CI/CD Developer Location: Strongsville, OH/Pittsburg, PA Duration: Fulltime * We are seeking a ... Build RESTful APIs using frameworks such as Flask, FastAPI, or Django. * Integrate Python-based ...

3B Staffing LLC

CI/CD Developer

Pittsburgh, PA · On-site

CI/CD Developer Location: Strongsville, OH/Pittsburg, PA Duration: Fulltime * We are seeking a ... Build RESTful APIs using frameworks such as Flask, FastAPI, or Django. * Integrate Python-based ...

CGI Inc.

AI Software Developer

Plymouth Meeting, PA · On-site

AI Software Developer Category: Software Development/ Engineering Main location: United States ... Advanced Python development experience, including FastAPI or similar frameworks for AI service ...

Cisco

Senior Software Engineer (Remote)

Philadelphia, PA · Remote

$123K - $163K/yr

... developer-facing security tooling. * Knowledge of production monitoring, incident response ... Experience with Golang or Python and familiarity with frameworks such as Flask or FastAPI.

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Fastapi Developer information

See Pennsylvania salary details

$17

$52

$81

How much do fastapi developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for fastapi developer in Pennsylvania is $52.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $64.81 per hour, depending on experience, location, and employer.

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 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 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 most commonly searched types of Fastapi Developer jobs in Pennsylvania?

The most popular types of Fastapi Developer jobs in Pennsylvania are:

What are popular job titles related to Fastapi Developer jobs in Pennsylvania?

For Fastapi Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Fastapi Developer jobs in Pennsylvania look for?

The top searched job categories for Fastapi Developer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Fastapi Developer jobs?

Cities in Pennsylvania with the most Fastapi Developer job openings:

Fastapi Developer jobs near you
Infographic showing various Fastapi Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $110,169 per year, or $53 per hour.

AI Software Developer

Srinav Inc.

Plymouth Meeting, PA • On-site

Other

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Job Title: AI Software Developer
Location: Plymouth Meeting, PA/NY/NJ/CT
Duration: Longterm
 
 
Your future duties and responsibilities
. Design and build AI capabilities embedded throughout enterprise products, including agentic workflows, retrieval systems, and reasoning engines.
. Develop production-grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, and vector databases.
. Implement multi-agent orchestration using frameworks such as LangGraph, CrewAI, Semantic Kernel, or Model Context Protocol (MCP).
. Build AI capabilities including document intelligence, knowledge retrieval, planning, reasoning, and AI-assisted decision support.
. Design and optimize data extraction, classification, embedding, and indexing pipelines.
. Integrate AI and LLM services with enterprise APIs, document repositories, and business workflows.
. Evaluate and improve model performance, reliability, accuracy, and observability through monitoring, testing, and drift detection.
. Partner closely with software engineers, product managers, and architects to deliver scalable AI services through well-designed APIs.
. Document AI architecture, prompt engineering strategies, agent workflows, and evaluation methodologies while promoting engineering best practices.
Required qualifications to be successful in this role
. 5+ years of software engineering experience, including at least 3 years developing production-grade AI/LLM applications beyond proof-of-concept or notebook development.
. Experience developing enterprise B2B SaaS products with embedded AI capabilities.
. Hands-on experience with one or more multi-agent orchestration frameworks such as LangGraph, CrewAI, Semantic Kernel, or MCP.
. Strong experience designing and implementing Retrieval-Augmented Generation (RAG), vector database, and semantic search solutions.
. Advanced Python development experience, including FastAPI or similar frameworks for AI service development.
. Experience integrating LLM-based applications with enterprise data sources, APIs, and business workflows.
. Strong analytical, problem-solving, and collaboration skills with the ability to communicate technical concepts effectively.
Preferred Qualifications:
. Experience building AI-native enterprise products comparable in complexity to Harvey AI, Cursor, Notion AI, Linear, Canva, or similar platforms.
. Experience in regulated industries such as Life Sciences, Clinical Research, Healthcare, or Pharmaceuticals.
. Experience with Intelligent Document Processing (IDP) solutions such as Azure AI Document Intelligence.
. Experience deploying AI solutions on cloud platforms including Azure, AWS, or Google Cloud.
. Familiarity with MLOps, AI observability, model evaluation frameworks, and responsible AI practices.
 

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