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Python Fastapi Developer Jobs in Pennsylvania (NOW HIRING)

CyberCoders

Senior Data Engineer - Analytics

Bristol, PA · Remote

$103.70K - $140.90K/yr

Author modular, tested SQL models and Python-based data transformations to support analytics ... Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML ...

Cmu

AI Engineer - Mission Innovation Lab

Pittsburgh, PA · On-site

Implement endtoend data pipelines, ETL processes, and backend services (Python, C/C++, Java) that ... Deploying LLM APIs (FastAPI,gRPC) at scale, handlinglatencyand load balancing. * Building multitool ...

URBN

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site

... FastAPI, GraphQL, or similar) to orchestrate and serve generative AI capabilities at scale ... Python & ML Frameworks: Strong proficiency in Python, with practical experience using PyTorch and ...

URBN

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site +1

... FastAPI, GraphQL, or similar) to orchestrate and serve generative AI capabilities at scale ... Python & ML Frameworks: Strong proficiency in Python, with practical experience using PyTorch and ...

PNC Bank

Software Engineer Principal

Pittsburgh, PA · On-site

$65K - $144K/yr

... Python Web framework technologies such as FastAPI, Flask, Django -Experience with Celery ... scalability. -Support DevOps practices including CI/CD, infrastructure as code, and ...

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What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are the key skills and qualifications needed to thrive in the Python Fastapi Developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.
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Infographic showing various Python Fastapi Developer job openings in Pennsylvania as of May 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 83% Physical, and 17% Remote job distribution.
AI Engineer - Mission Innovation Lab

AI Engineer - Mission Innovation Lab

Software Engineering Institute

Pittsburgh, PA • On-site

Full-time

Posted 15 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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