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Flask Developer Jobs in Georgia (NOW HIRING)

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

About the Role As a Senior AI Engineer, you will work directly with clients to design, build ... Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, ...

Senior AI Engineer 2026 - US

Atlanta, GA · Remote

$100K - $138K/yr

About the Role As a Senior AI Engineer, you will work directly with clients to design, build ... Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, ...

Strong proficiency in Python (FastAPI, Flask, async programming, RESTful APIs). * Proven experience in AI/ML pipelines - data preprocessing, model training, fine-tuning, and deployment (TensorFlow ...

AI Engineering Leader

Atlanta, GA · On-site

$98K - $129K/yr

Job Title: AI Engineering Leader Location: Onsite at North Carolina or Atlanta, GA Duration ... Python stack experience (FastAPI, Django/Flask, pandas, NumPy) particularly for data pipelines, AI ...

Generative AI Engineer

Atlanta, GA · On-site

$140 - $190/hr

Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve ... Experience with REST API clients and platforms such as Spring/ Flask. * Strong communication skills ...

Set and enforce engineering standards: architecture guardrails, code quality, DevSecOps, and ... Python stack experience (FastAPI, Django/Flask, pandas, NumPy) particularly for data pipelines, AI ...

... Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ... Flask. • Strong communication skills of analytical results to technical and non-technical ...

... Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ... Flask. • Strong communication skills of analytical results to technical and non-technical ...

By blending design, product engineering, analytics, and automation, we build the custom-built ... Strong Python development skills, including APIs (FastAPI/Flask) and system integration

Showing results 41-60

Flask Developer information

See Georgia salary details

$14

$44

$69

How much do flask developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for flask developer in Georgia is $44.62, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $54.62 per hour, depending on experience, location, and employer.

What is a Flask developer?

Flask Developers are software professionals who specialize in building web applications using the Flask framework, a lightweight and flexible web framework for Python. Their responsibilities typically include designing, developing, testing, and deploying web applications, as well as integrating databases, APIs, and front-end technologies. Flask Developers often work on projects that require rapid prototyping, microservices, or minimalistic web solutions due to Flask's simplicity and modularity.

What are the key skills and qualifications needed to thrive as a Flask developer?

To thrive as a Flask Developer, you need strong proficiency in Python programming, web development fundamentals, and a solid understanding of the Flask microframework. Familiarity with tools like Git, RESTful APIs, SQL/NoSQL databases, and experience deploying applications using cloud services or containerization (e.g., Docker) are typically required. Effective problem-solving, attention to detail, and strong communication skills help developers collaborate efficiently and create robust, scalable solutions. These skills and qualities are essential for building secure, maintainable web applications that meet both technical and business requirements.

What is the difference between Flask Developer vs Django Developer?

AspectFlask DeveloperDjango Developer
Required CredentialsProficiency in Python, basic web development skillsProficiency in Python, web frameworks, and often more extensive experience
Work EnvironmentLightweight, flexible projects, microservicesFull-stack applications, larger projects, enterprise solutions
Industry UsageStartups, small to medium projectsLarge-scale applications, enterprise-level projects
Common Search/ComparisonYesYes

Flask Developers typically work on lightweight, flexible web applications and microservices, making them ideal for startups and small projects. Django Developers focus on full-stack, scalable applications suitable for larger, enterprise-level projects. Both roles require strong Python skills, but Django Developers often have additional experience with comprehensive web frameworks and database management.

What are the common challenges Flask developers face when working on large-scale applications?

Flask Developers often encounter challenges related to scalability and maintainability when building large-scale applications, as Flask is a microframework that provides flexibility but requires careful planning of architecture. Managing complex codebases, integrating multiple extensions, and ensuring consistent coding standards across teams can be tricky. Effective communication and collaboration with front-end developers, DevOps, and QA teams are essential to maintain smooth workflows. Adopting best practices for project structure, modular code, and thorough documentation helps address these challenges and supports long-term project success.
What are the most commonly searched types of Flask Developer jobs in Georgia? The most popular types of Flask Developer jobs in Georgia are:
Infographic showing various Flask Developer job openings in Georgia as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $92,802 per year, or $44.6 per hour.

Senior AI Engineer 2026 - US

Aimpoint Digital

Atlanta, GA • On-site, Remote

$100K - $138K/yr

Full-time

Re-posted 12 days ago


Job description

Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications.
We are not a commodity consulting firm. We are a technical partner to organizations that need to move beyond experimentation and deploy AI into real business workflows with the architecture, governance, reliability, and engineering discipline required for production.
We believe successful AI initiatives require much more than prompting an LLM. They require strong software engineering, scalable architecture, reliable deployment, thoughtful evaluation, and disciplined engineering practices.
About the Role
As a Senior AI Engineer, you will work directly with clients to design, build, deploy, and scale enterprise AI solutions. You will combine strong software engineering fundamentals with modern AI technologies to deliver production-ready systems that create measurable business value.
You will work across the entire AI engineering lifecycle; from solution architecture and application development to deployment, evaluation, and operationalization.
What You Will Do
  • Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows
  • Translate business problems into scalable technical solutions using modern AI engineering best practices
  • Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems
  • Build multi-agent systems, AI agents, workflow automation, and decision-support systems
  • Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance
  • Design AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applications
  • Collaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholders
  • Experience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring
  • Contribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practice
  • Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes

What We Are Looking For
We are looking for engineers who enjoy solving difficult technical problems and building production software. You are comfortable moving between software engineering, AI application development, cloud architecture, and client collaboration.
You understand that successful AI systems require excellent engineering, not just excellent models.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
  • 3+ years of professional software engineering experience building production applications
  • 1+ years designing and deploying AI or machine learning solutions into production
  • Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages
  • Experience building scalable backend systems, APIs, or distributed applications.
  • Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutions
  • Experience with online and offline evaluation, observability, context engineering, guardrails, and AI governance
  • Experience with MLOps, LLMOps, or production deployment pipelines
  • Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design
  • Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other comparable coding harnesses
  • Experience integrating AI applications with enterprise data sources, APIs, and business systems
  • Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologies
  • Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
  • Ability to independently own technical workstreams while collaborating across multidisciplinary teams

Preferred Qualifications
One or more of the following is a plus:
  • Experience developing production APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, and Express
  • Experience building multi-agent systems, AI automated workflows, agents, semantic search, vector databases, or knowledge graph retrieval applications
  • Experience designing distributed systems, concurrency, or high-scale cloud applications
  • Experience deploying AI solutions serving 1000+ users
  • Consulting experience or experience working directly with enterprise customers
  • Experience building data pipelines, including ETL, ELT, batch, and streaming pipelines for analytics and AI applications
  • Experience pre-training or fine-tuning LLMs

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.