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Junior Python Flask Developer Jobs in Georgia (NOW HIRING)

Lyrasis

Full Stack Engineer - (U.S. Based - Remote)

GA · On-site +1

$95K - $100K/yr

Lyrasis is seeking a Full Stack Engineer who will be joining a diverse engineering team in the ... Develop and maintain backend services using Python (Flask, SQLAlchemy) * Build and enhance frontend ...

Analytics Solutions

Java Developer - W2

Atlanta, GA · On-site

$49 - $63.50/hr

Java Developer- W2 Location: New Jersey, Atlanta GA, Detroit MI Contract: 6-12 months - Only Locals ... Good knowledge of Python (Django/Flask/FastAPI preferred). Experience in REST API development.

Caresoft Inc.

.Net Developer

Tucker, GA · On-site

$40 - $45/hr

Title: .Net Developer Location: : 2082 E. Exchange Place Tucker, Ga. 30084(On-site) Duration ... Proficient with Python web frameworks such as Django and/or Flask Nice to have: * Umbraco (ASP.NET ...

CLPS Global

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. * Develop REST APIs ... OpenTelemetry, Grafana, Prometheus. * CI/CD (Jenkins, GitHub Actions), DevOps/GitOps.

CirrusLabs

Junior Tosca Engineer

Alpharetta, GA · On-site

... DevOps, or Bamboo. • Experience in Agile/Scrum environments. • Excellent communication ... Python, VBScript). • Experience with test management and defect tracking tools like JIRA, XRay ...

Metasys

Jr. Technical Engineer

Atlanta, GA · On-site

... Python, Shell, BASH - Experience with web development technologies - Experience with programming ... Jr. Technical Engineer Location: Atlanta, GA Job Status: Full-Time Start Date: ASAP Mode of ...

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Junior Python Flask Developer information

What does a junior Python Flask developer do?

A Junior Python Flask Developer assists in building web applications using the Flask framework and Python programming language. Their responsibilities typically include writing and maintaining code, debugging applications, working with databases, and collaborating with senior developers and designers. They are often involved in both the backend and parts of the frontend, helping to implement new features and ensure the application runs smoothly. This role is ideal for those who are early in their software development career and looking to gain hands-on experience in web development.

What are the key skills and qualifications needed to thrive as a junior Python Flask developer, and why are they important?

To thrive as a Junior Python Flask Developer, you need a solid understanding of Python programming, web development concepts, and familiarity with the Flask framework, typically supported by a relevant degree or coursework. Experience with tools such as Git for version control, RESTful APIs, and basic front-end technologies (HTML, CSS, JavaScript) is also important. Strong problem-solving skills, eagerness to learn, and effective communication help you collaborate with team members and adapt to new challenges. These skills and qualities are crucial for building robust web applications, contributing effectively to projects, and growing in a fast-paced tech environment.

What are some common challenges faced by junior Python Flask developers when working on team-based projects?

As a Junior Python Flask Developer, one common challenge is adapting to established codebases and adhering to team coding standards. Collaborating with senior developers often means integrating your work with theirs, requiring clear communication and frequent code reviews. Additionally, balancing the need to learn new frameworks or tools while delivering features on tight deadlines can be demanding. However, support from experienced team members and regular feedback sessions help foster growth and ensure successful project contributions.

What is the difference between Junior Python Flask Developer vs Junior Django Developer?

AspectJunior Python Flask DeveloperJunior Django Developer
Required CredentialsPython knowledge, basic web development skills, possibly some certificationsPython knowledge, Django framework familiarity, certifications optional
Work EnvironmentStartups, small teams, flexible projectsWeb development companies, larger teams, structured projects
Industry UsageWeb apps, microservices, APIsFull-stack web applications, content management systems
Common Search IntentCompare entry-level Python web frameworksEntry-level Django web development roles

Both roles are entry-level Python web development positions, often requiring similar foundational skills. The main difference lies in the frameworks used: Flask is lightweight and flexible, suitable for microservices and APIs, while Django is more comprehensive, ideal for full-stack web applications. Your choice depends on the project type and your preferred development environment.

What are popular job titles related to Junior Python Flask Developer jobs in Georgia?

For Junior Python Flask Developer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Junior Python Flask Developer jobs in Georgia look for?

The top searched job categories for Junior Python Flask Developer jobs in Georgia are:

What cities in Georgia are hiring for Junior Python Flask Developer jobs?

Cities in Georgia with the most Junior Python Flask Developer job openings:

Junior Python Flask Developer jobs near you
Infographic showing various Junior Python Flask Developer job openings in Georgia as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Agentic AI Engineer......Atlanta, GA or Seattle, WA

Atlanta, GA • On-site

Tech Rakers
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Tech Rakersexternal

Other

Posted 19 days ago

Job description

Agentic AI Engineer

Atlanta, GA or Seattle, WA

Long Term

Job Description

Position Overview: We are seeking a versatile and highly skilled AI Systems Engineer with deep expertise in fullstack Python development, intelligent agent orchestration, and advanced context engineering. This role is central to building next-generation AI-powered applications that leverage large language models (LLMs), multi-agent workflows, and dynamic context management. You will architect and integrate scalable systems using frameworks like LangGraph and MCP, while collaborating across disciplines to deliver adaptive, intelligent solutions.

Key Responsibilities:

Prompt & Context Engineering

  1. Design and optimize prompts for LLMs to ensure accurate, contextually rich outputs across diverse use cases.
  2. Architect dynamic context management systems including session memory, retrieval-augmented generation (RAG), and user personalization.

Agent Integration & Orchestration

  1. Develop and deploy autonomous and semi-autonomous AI agents using LangGraph and MCP.
  2. Coordinate multi-agent workflows, manage state transitions, and ensure seamless model interoperability.

Fullstack System Development

  1. Build robust backend services and APIs using Python frameworks (FastAPI, Flask, Django).
  2. Develop front-end interfaces using modern JS frameworks (React, Vue, Angular) to support end-to-end user experiences.

System Integration

  1. Connect agents with external data sources, vector databases, third-party APIs, and ML models.
  2. Implement scalable pipelines for knowledge retrieval, model serving, and real-time interaction.

Evaluation & Optimization

  1. Establish testing, monitoring, and evaluation pipelines to continuously improve agent performance and context handling.
  2. Optimize system reliability, latency, and scalability across cloud environments.

Collaboration & Delivery

Work cross-functionally with product managers, data scientists, and ML engineers to define requirements and deliver production-grade solutions.

Contribute to architectural decisions, sprint planning, and iterative development cycles.

Required Skills & Qualifications

  1. Strong experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
  2. Proven expertise in prompt engineering and context-aware LLM integration (OpenAI, Anthropic, open-source models).
  3. Hands-on experience with LangGraph and MCP for agent orchestration and workflow design.
  4. Familiarity with vector search, RAG pipelines, and session/context management strategies.
  5. Experience integrating AI agents into production systems with cloud infrastructure (AWS, Google Cloud Platform, Azure).
  6. Proficiency with containerization (Docker), CI/CD pipelines, and scalable distributed systems.
  7. Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

  1. Background in information retrieval, knowledge graphs, or search systems.
  2. Experience with front-end development and data visualization tools.
  3. Contributions to open-source AI, agent, or LLM frameworks.
  4. Familiarity with advanced ML model serving and orchestration platforms.

Apply