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Fastapi Developer Jobs in Pennsylvania (NOW HIRING)

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

AI Lead Developer - Agentic AI & GenAI Solutions Location: Exton, PA Onsite Employment Type ... Build scalable APIs and AI microservices using Python, FastAPI, andcloud-native architectures.

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

AI Lead Developer - Agentic AI & GenAI Solutions Location: Exton, PA Onsite Employment Type ... Build scalable APIs and AI microservices using Python, FastAPI, and cloud-native architectures.

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$90K - $100K/yr

Python API Developer Must Have Technical/Functional Skills: * Acceptable frameworks: FastAPI (preferred), Django, Flask. * Good to see listed: sql alchemy, sql model, redis, mysql, mssql, postgres ...

QTech US Inc

GenAI Engineer

Philadelphia, PA · On-site

Develop REST APIs using FastAPI or Flask to expose AI services. Collaborate with Product Managers, Data Engineers, and Front-End Developers to integrate AI capabilities into enterprise applications.

Cmu

Software Engineer

Pittsburgh, PA

Build and support RESTful APIs; experience with FastAPI, OpenAPI/Swagger, or similar frameworks is preferred. * Write clean, maintainable, and scalable code following established engineering best ...

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Fastapi Developer information

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$17

$52

$81

How much do fastapi developer jobs pay per hour?

As of Jul 27, 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 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, and why are they important?

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 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 July 2026, with employment types broken down into 81% Full Time, 7% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $110,169 per year, or $53 per hour.
AI Lead Developer

AI Lead Developer

SID Global Solutions

Exton, PA • On-site

$57 - $74.50/hr

Full-time

Posted 23 days ago

Job description


AI Lead Developer - Agentic AI & GenAI Solutions
Location: Exton, PA Onsite
Employment Type: Full-Time
We are seeking a hands-on AI Lead Developer to architect, build, and deploy enterprise-scale Agentic AI, Generative AI, and Multi-Agent Solutions. This role requires strong expertise in AI architecture, LLM-powered applications, cloud-native deployments, and scalable AI platforms.
The ideal candidate will lead the development of intelligent AI systems while mentoring engineering teams and driving AI innovation across the organization.
Career Growth Opportunity
This role is designed to evolve into a leadership position with the opportunity to grow into a Global AI Practice Head, leading AI strategy, delivery, innovation, and capability development across global teams.
Key Responsibilities
  • Design and develop enterprise-grade Agentic AI and Generative AIsolutions.
  • Build multi-agent systems using LangGraph, AutoGen, ADK, MCP, andrelated frameworks.
  • Develop RAG-based applications leveraging vector databases andenterprise knowledge sources.
  • Build scalable APIs and AI microservices using Python, FastAPI, andcloud-native architectures.
  • Deploy AI solutions on AWS, Azure, or GCP using Docker, Kubernetes,and CI/CD pipelines.
  • Implement AI security, governance, observability, and guardrails.
  • Collaborate with business, product, and engineering teams todeliver AI-driven solutions.
  • Conduct code reviews, mentor engineers, and contribute to AIarchitecture and roadmap planning.

Required Skills
  • 10+ years of software engineering experience with 4+ years inAI/GenAI solutions.
  • Strong Python development experience with FastAPI or Flask.
  • Hands-on experience with:
    • LangChain
    • LangGraph
    • AutoGen
    • ADK
    • MCP (Model Context Protocol)
    • Multi-Agent Architectures
  • Experience building RAG pipelines, embeddings, prompt engineering,and vector search solutions.
  • Experience with vector databases such as Pinecone, Weaviate, FAISS,Chroma, or Azure AI Search.
  • Strong knowledge of REST APIs, microservices, distributed systems,and cloud platforms (AWS/Azure/GCP).
  • Experience with Docker, Kubernetes, Redis, Kafka, and AIapplication deployment.
  • Strong understanding of AI security, memory management,scalability, and production AI systems.

Preferred Skills
  • Experience with OpenAI, Azure OpenAI, Claude, Gemini, and HuggingFace models.
  • Knowledge of MLOps, AI evaluation frameworks, and AI governance.
  • Experience with Spark, Kafka, and large-scale AI platforms.
  • Prior experience leading AI initiatives and mentoring engineeringteams.

What We're Looking For
A senior AI engineering leader who can move beyond chatbot development and build production-grade, enterprise-scale Agentic AI platforms, while helping shape the future AI strategy and practice of the organization.

Apply