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Junior Fastapi Developer Jobs in Atlanta, GA (NOW HIRING)

Experience working with server-side frameworks like FastAPI as well as API development ... Experience mentoring junior colleagues and interns.

Professional Cloud Developer certification. * Previous experience in a client-facing consulting ... Actively mentor and guide junior and mid-level developers, fostering a culture of continuous ...

Senior Software Engineer

Atlanta, GA · Remote

$125K - $165K/yr

Mentor mid-level and junior engineers. Pair, code-review thoughtfully, and help teammates level up ... Rails, FastAPI, .NET, Postgres, DynamoDB, MSSQL Server, Docker, Terraform * Cloud Providers: AWS ...

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Mentor mid-level and junior engineers. Pair, code-review thoughtfully, and help teammates level up ... Rails, FastAPI, .NET, Postgres, DynamoDB, MSSQL Server, Docker, Terraform * Cloud Providers: AWS ...

Junior Fastapi Developer information

See Atlanta, GA salary details

$23.1K

$85.6K

$132.2K

How much do junior fastapi developer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for junior fastapi developer in Atlanta, GA is $85,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $83,700.00 per year, depending on experience, location, and employer.

What is the difference between Junior Fastapi Developer vs Junior Python Developer?

AspectJunior Fastapi DeveloperJunior Python Developer
Required CredentialsBasic Python knowledge, familiarity with FastapiBasic Python knowledge, possibly some frameworks
Work EnvironmentWeb backend development, API creationGeneral software development, scripting
Employer & Industry UsageTech companies, startups, web servicesBroad industry, including data analysis, automation
Common Search & ComparisonYesYes

The main difference is that a Junior Fastapi Developer specializes in building APIs using Fastapi, while a Junior Python Developer has broader Python programming skills without specific focus on web APIs. Fastapi developers typically work in web backend environments, whereas Python developers may work across various domains.

What are some typical challenges a Junior FastAPI Developer may face when joining a new team?

As a Junior FastAPI Developer, you may encounter challenges such as adapting to established codebases, understanding the team's API design patterns, and ensuring your code aligns with both FastAPI best practices and your organization's standards. Collaborating closely with senior developers and participating in code reviews can help accelerate your learning process. Additionally, you may need to quickly familiarize yourself with related tools such as Docker, Git, and testing frameworks, as well as the team's workflow for deploying and maintaining APIs in production environments.

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

To thrive as a Junior FastAPI Developer, you need foundational knowledge of Python programming, RESTful API concepts, and experience working with FastAPI frameworks, supported by a relevant degree or coding bootcamp. Familiarity with Git for version control, SQL or NoSQL databases, and containerization tools like Docker is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication make candidates stand out in collaborative development environments. These competencies ensure efficient, high-quality API development and seamless teamwork in agile software projects.

What are Junior FastAPI Developers?

Junior FastAPI Developers are entry-level software engineers who specialize in building web applications and APIs using FastAPI, a modern Python web framework. They are responsible for writing, testing, and maintaining backend code, often under the guidance of more experienced developers. Their tasks typically include developing RESTful APIs, integrating databases, and ensuring application performance and security. Junior FastAPI Developers usually have a basic understanding of Python, web technologies, and REST principles. They play an important role in supporting projects, learning best practices, and growing their technical skills.
What are the most commonly searched types of Fastapi Developer jobs in Atlanta, GA? The most popular types of Fastapi Developer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Junior Fastapi Developer jobs? Cities near Atlanta, GA with the most Junior Fastapi Developer job openings:
Gen AI Engineer

Gen AI Engineer

Fisec Global

Atlanta, GA • On-site

Other

Posted 24 days ago


Job description

Gen AI Engineer

Atlanta GA

Full time

Job Summary
We are seeking a highly skilled and motivated Engineer to join our dynamic team. The ideal candidate will have a strong background in engineering principles and practices, with expertise in model deployment, data mining, and database design. This role involves leveraging advanced technologies to solve complex problems and contribute to innovative projects.

Duties

  • Design, develop, and implement engineering solutions that meet project requirements.
  • Deploy machine learning models and ensure their effective integration into existing systems.
  • Utilize Hadoop for big data processing and analysis.
  • Conduct data mining to extract valuable insights from large datasets.
  • Collaborate with cross-functional teams to define project specifications and timelines.
  • Use Talend for data integration and transformation tasks.
  • Write efficient SQL queries for database management and reporting purposes.
  • Engage in quantum engineering projects, applying principles of quantum mechanics to engineering challenges.
  • Create and maintain databases, ensuring optimal performance and security.
  • Develop automation scripts using VBA to enhance operational efficiency.
  • Program applications in Java to support various engineering functions.
  • Apply unsupervised learning techniques to analyze unlabelled data and derive meaningful patterns.

Qualifications

  • Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
  • Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
  • Strong background in machine learning, deep learning, and probabilistic modeling.
  • Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
  • Experience designing and implementing large-scale data pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Excellent communication and teamwork skills.
  • Experience mentoring junior colleagues and interns.