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Fastapi Developer Jobs in Pennsylvania (NOW HIRING)

System One

Software Engineer Lead - JAVA

Pittsburgh, PA · On-site

Lead Full Stack Java Developer (UPDATED REQUIREMENTS) 8-10 years total experience with at least 5-6 ... FastApi, Flask Flex Skills/Nice to Have: Design and development of high-performance web scale ...

URBN

URBN Staff Software Engineer

Philadelphia, PA · On-site

Design and development of microservices using FastAPI, GraphQL, or similar technologies. * Develop functional designs while interacting with enterprise architects, developers, business partners, and ...

URBN

URBN Staff Software Engineer

Philadelphia, PA · On-site

Design and development of microservices using FastAPI, GraphQL, or similar technologies. * Develop functional designs while interacting with enterprise architects, developers, business partners, and ...

Legrand AV, Inc.

Lead AI Engineer

Canonsburg, PA · Remote

$94K - $124K/yr

Build, review, and maintain Python-based services (FastAPI), automation workflows, and integration ... Exposure to Azure DevOps, CI/CD pipeline configuration, or infrastructure-as-code practices.

Cybercoders

Senior Data Engineer - Analytics

Philadelphia, PA · Remote

$107K - $145K/yr

Senior Data Engineer - Analytics Senior Data Engineer, Analytics Location: 100% Remote Position ... Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML ...

Cybercoders

Senior Data Engineer - Analytics

Tullytown, PA · Remote

$102K - $138K/yr

Senior Data Engineer - Analytics Senior Data Engineer, Analytics Location: 100% Remote Position ... Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML ...

URBN

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site +1

... FastAPI, GraphQL, or similar) to orchestrate and serve generative AI capabilities at scale ... Engineer consistency mechanisms and quality gates in partnership with data scientists who own ...

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How much do fastapi developer jobs pay per hour?

As of Jun 9, 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.
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Fastapi Developer jobs near you
AI Engineer - Mission Innovation Lab

AI Engineer - Mission Innovation Lab

Software Engineering Institute

Pittsburgh, PA • On-site

Full-time

Posted 24 days ago

Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
  • build real-world, mission-scale AI capabilities through solving practical engineering problems

  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

  • identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Overview
As an AI Engineer who thrives at the intersection of deep-learning research and production-grade software development, you will translate cutting-edge AI concepts into robust, mission-scale solutions for the warfighting community. You will work comfortably with large-scale foundation models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements, iterate on experimental designs, and deliver secure, reliable AI capabilities that meet stringent mission requirements.
The Mission Innovation Lab within the SEI's AI Division works with the defense and national security community to translate the "recently possible" in AI into reliable mission and warfighting capabilities.
Key Responsibilities
  • Design, develop, and fine-tune a variety of AI models.

  • Design autonomous agents and multi-step pipelines using LangChain, ReAct, tool-calling, or custom orchestration; employ the Model Context protocol to manage stateful interactions.

  • Build Retrieval-Augmented Generation pipelines that combine external knowledge bases with LLMs to improve factual accuracy for warfighting applications.

  • Implement end-to-end data pipelines, ETL processes, and back-end services (Python, C/C++, Java) that feed data to models.

  • Create CI/CD pipelines for model training, validation, containerized deployment (Docker/Kubernetes), and security scanning; maintain model registries, monitoring, and version control of context protocols.

  • Produce rapid prototypes, run benchmarks, and conduct robustness/adversarial testing in realistic environments.

  • Work closely with senior ML engineers, software developers, and government customers; mentor junior staff and contribute to design reviews and documentation.

  • Stay current with emerging LLM architectures, agentic paradigms, PEFT/LoRA methods, and AI-safety techniques; translate new research into operational capabilities.

Required Qualifications
  • Bachelor's degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field with at least eight (8) years of relevant experience, or a MS degree in the same with at least five (5) years of relevant experience.

  • You will be subject to a background investigation and must be able to obtain and maintain an active Department of War (DoW) security clearance.
  • You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.

  • Proficiency in Python and at least one compiled language (C/C++ or Java); experience with REST/GraphQL APIs and containerization.

  • Strong grasp of ML theory (supervised, unsupervised, reinforcement learning) and evaluation metrics.

  • Hands-on experience fine-tuning LLMs and using frameworks such as Hugging Face Transformers, LangChain, or comparable agent tools.

  • Familiarity with building RAG pipelines (vector stores, dense/sparse retrievers).

  • Experience applying PEFT/LoRA methods (e.g., LoRA, adapters) to large models.

  • Understanding of Model Context protocols for managing model state across multi-turn interactions.

  • Experience building evaluation frameworks, benchmarks, or data quality pipelines

  • Experience with TensorFlow, PyTorch, or JAX; knowledge of data-pipeline tools (Airflow, Prefect, Ray) is a plus.

  • Awareness of DevSecOps practices (CI/CD, GitOps, container security scanning, model-registry concepts) is desirable.

Desired Experience
  • Deploying LLM APIs (FastAPI, gRPC) at scale, handling latency and load balancing.

  • Building multi-tool agents, planner-executor loops, or tool-calling pipelines for complex decision-making.

  • Conducting adversarial testing, implementing input sanitization, and contributing to AI-safety research.

  • Utilizing GPU/TPU resources, mixed-precision training, and distributed training frameworks such as DeepSpeed or ZeRO.

  • Prior work on defense, intelligence, or government-focused AI projects and familiarity with DoW acquisition or compliance processes.

  • Contributing to open-source AI and ML libraries, agentic frameworks, or context-protocol implementations.

Knowledge, Skills, & Abilities
  • Analytical thinking: decompose complex AI problems into tractable components and iterate rapidly.

  • Strong written and verbal communication skills for documenting designs and presenting results to technical and non-technical stakeholders.

  • Proven teamwork: collaborate in interdisciplinary groups, mentor peers, and contribute to shared codebases.

  • High curiosity and autonomy: proactively explore emerging technologies and integrate them into mission work.

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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