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

IntelliTrans

AI/ML Engineer

Atlanta, GA · On-site

The Applied AI Engineer a key member of the AI and Data Science Team, responsible for designing ... Develop production-grade Python services (FastAPI, async patterns) that integrate ML models and AI ...

IntelliTrans

AI/ML Engineer

Atlanta, GA · On-site

The Applied AI Engineer a key member of the AI and Data Science Team, responsible for designing ... Develop production-grade Python services (FastAPI, async patterns) that integrate ML models and AI ...

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Experience working with server-side frameworks like FastAPI as well as API development ... Strong programming skills in Python and experience working with version control systems (Git)

Acuity Brands, Inc.

Senior Software Engineer - AI

Atlanta, GA · On-site +1

$118K - $155.60K/yr

Advanced Python engineering (maintainable OOP, typing, async; FastAPI preferred) * REST APIs and service integrations; cloud delivery (Azure preferred); containers; Kubernetes; modern CI/CD and DevOp ...

Acuity Brands, Inc.

Senior Software Engineer - AI

Atlanta, GA · On-site

$118K - $155.60K/yr

Advanced Python engineering (maintainable OOP, typing, async; FastAPI preferred) * REST APIs and service integrations; cloud delivery (Azure preferred); containers; Kubernetes; modern CI/CD and DevOp ...

Acuity Brands

Senior Software Engineer - AI

Atlanta, GA · On-site +1

$118K - $155.60K/yr

Advanced Python engineering (maintainable OOP, typing, async; FastAPI preferred) * REST APIs and service integrations; cloud delivery (Azure preferred); containers; Kubernetes; modern CI/CD and DevOp ...

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How much do python fastapi developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python fastapi developer in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

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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Python Fastapi Developer jobs near you

AI Native Development lead/ Architect

Tror AI for everyone

Atlanta, GA • On-site

Contractor

Posted 26 days ago

Job description

Job Role: AI Native Development lead/ Architect

Job Location: Atlanta, GA (Hybrid)

Job Type: Contract

Role Summary
We are looking for an AI Native Development Architect to design and guide the build of cloud-native, data- and AI-driven applications on AWS. You will define target architectures, enable engineering teams with reusable patterns and reference implementations, and accelerate delivery using modern AI-assisted development tools.

Key Responsibilities

  • Define end-to-end architecture for AI-native products, including application, data, integration, security, and operations on AWS.
  • Lead design reviews and provide technical direction across Python and C#/.NET codebases.
  • Architect data pipelines and analytical workloads using PySpark and AWS Glue; establish standards for data quality, lineage, and observability.
  • Design and implement scalable APIs and microservices using FastAPI (and/or .NET Web APIs) with clear contracts, versioning, and performance SLAs.
  • Establish reference architectures for LLM/RAG-enabled capabilities (e.g., retrieval patterns, prompt management, evaluation, guardrails) aligned with organizational policies.
  • Partner with Security, Platform, and DevOps teams to implement secure-by-design practices (IAM, secrets, network controls, encryption, threat modeling).
  • Define CI/CD, branching, testing, and release practices; improve developer productivity with automation and paved-road templates.
  • Champion AI-assisted engineering workflows using tools such as GitHub Copilot, Cursor, and Claude AI while ensuring code quality and compliance.
  • Mentor engineers, create technical documentation, and drive adoption of best practices across teams.

Required Skills:

  • Python: strong hands-on experience building services and data workloads using Python, PySpark, AWS Glue, and FastAPI.
  • C#/.NET: ability to design and review .NET services and libraries; familiarity with modern .NET runtime and patterns.
  • AWS: strong understanding of AWS architecture fundamentals (networking, IAM, compute, storage, managed services) and designing for scale, reliability, and cost.

AI Native Development Tools

  • Proficiency using AI coding assistants to accelerate development while maintaining engineering rigor: GitHub Copilot, Cursor, Claude AI.
  • Ability to establish team guidelines for AI-assisted coding (review standards, secure prompting, IP/compliance awareness, and validation/testing).

Preferred Qualifications

  • Experience designing GenAI solutions (RAG, tool/function calling, agents) and implementing evaluation/monitoring approaches.
  • Experience with infrastructure as code (e.g., CloudFormation/CDK/Terraform) and container platforms (Docker/ECS/EKS).
  • Knowledge of MLOps patterns (model lifecycle, feature stores, experiment tracking) and data governance concepts.
  • Strong understanding of observability practices (logs/metrics/traces) and SRE-oriented reliability design.

Soft Skills & Competencies

  • Architecture leadership: can balance short-term delivery with long-term platform thinking.
  • Clear communication: can translate complex technical decisions for engineering and business stakeholders.
  • Hands-on mindset: comfortable prototyping and jumping into code to unblock teams.
  • Quality and security focus: promotes testing discipline, secure coding, and operational readiness.
  • Collaboration and mentorship: builds alignment, coaches engineers, and scales best practices across squads.