ZipRecruiter

Log In

1

Internship Python Django Backend Developer Jobs in Atlanta, GA

MasterCard

Lead Software Engineer

Atlanta, GA · On-site

Partner with Product, UX, Data & Analytics, DevOps/SRE, and other technology stakeholders to ... Python/Django, as well as modern front-end technologies such as Angular, React, Next.js, and ...

previous page

Showing results 41-60

All JobsPython Django Backend Developer JobsInternship Python Django Backend Developer JobsInternship Python Django Backend Developer Jobs in Atlanta, GA

Internship Python Django Backend Developer information

See Atlanta, GA salary details

$15.4K

$142.6K

$183.7K

How much do internship python django backend developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for internship python django backend developer in Atlanta, GA is $142,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,900.00 and $161,100.00 per year, depending on experience, location, and employer.

What is the difference between Internship Python Django Backend Developer vs Junior Python Developer?

AspectInternship Python Django Backend DeveloperJunior Python Developer
Required CredentialsEnrolled in or recently graduated from a related program, basic knowledge of Python and DjangoBachelor's degree in Computer Science or related field, some experience with Python and Django
Work EnvironmentInternship setting, mentorship-focused, learning-orientedEntry-level position, collaborative team environment
Employer & Industry UsageTech companies, startups, software firmsSame as internship, often transitioning to full-time roles

In summary, an Internship Python Django Backend Developer is a temporary, learning-focused role for students or recent graduates, while a Junior Python Developer is an entry-level position with more responsibilities and expectations for independent work. Both roles are common in tech industries and serve as stepping stones for a career in backend development.

What are the most commonly searched types of Python Django Backend Developer jobs in Atlanta, GA?

The most popular types of Python Django Backend Developer jobs in Atlanta, GA are:

What are popular job titles related to Internship Python Django Backend Developer jobs in Atlanta, GA?

For Internship Python Django Backend Developer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Internship Python Django Backend Developer jobs in Atlanta, GA look for?

The top searched job categories for Internship Python Django Backend Developer jobs in Atlanta, GA are:

Internship Python Django Backend Developer jobs near you

Data Scientist with Python AI/ML

Accord Technologies Inc.

Atlanta, GA • On-site

Contractor

Re-posted 27 days ago

Job description

Title : Data Scientist with Python AI/ML
Location: Atlanta, GA (Inperson interview needed)
Position type: W2 contract.
Job Description:

We are looking for a highly capable Technical Lead –Python & AI/ML with deep expertise in backend engineering, LLM-based applications, RAG architectures, and AI agent frameworks.
You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases.
This is a hands-on leadership role focused on building scalable and intelligent AI products.

Investment Banking and financial domain is needed.

Key Responsibilities

  • Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems.
  • Provide technical guidance, conduct code reviews, and mentor junior team members.
  • Drive best practices in Python backend engineering, API development, and AI system design.

Backend Engineering (Python)

  • Build and maintain backend services using FastAPI or Flask.
  • Develop scalable API endpoints for AI applications, embeddings, and retrieval systems.
  • Ensure backend code quality, modularity, performance, and maintainability.

LLMs, RAG, and AI Agent Development

  • Build AI applications using: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen

•       Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs.

•       Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques.

•       Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere, etc.).

•       Manage prompt engineering, prompt routing, safety guardrails, and evaluation metrics.

Data & Vector Search Engineering

•       Build data pipelines for indexing, embeddings, and retrieval workflows.

•       Work with SQL databases (PostgreSQL, MySQL, etc.) for metadata and application storage.

•       Work with vector databases such as: Redis, Postgres with pgvector, Elasticsearch, Neo4j, or others.

•       Implement and optimize search workflows using FAISS or similar similarity search libraries.

MLOps, Deployment & Observability

•       Deploy AI services using Docker, container orchestration, and cloud environments.

•       Implement monitoring for AI behavior, performance, error rates, and retrieval accuracy.

•       Set up CI/CD pipelines for backend and AI components.

•       Optimize inference cost, latency, and reliability.

Cross-Functional Collaboration

•       Collaborate with product, data engineering, and business teams to understand requirements.

•       Translate business problems into scalable AI architectures and deliver practical solutions.

•       Communicate technical decisions, trade-offs, and progress to stakeholders.

Required Qualifications

•       Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.

•       10+ years of experience in Python backend development.

•       Strong proficiency in FastAPI or Flask.

•       Strong working knowledge of SQL databases (Postgres, MySQL, etc.).

•  Hands-on expertise with vector databases:
Redis, Postgres/pgvector, Elasticsearch, or Neo4j.

•       Practical experience with FAISS for similarity search.

•       Hands-on experience with modern LLM frameworks:
LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.

•       Strong understanding of:

  • Embeddings & vector search
  • RAG pipelines
  • Retrieval optimization
  • Chunking strategies
  • Document loaders & indexing

•       Experience building AI apps using OpenAI SDK or similar.

•       Experience deploying APIs/services using Docker and cloud environments.

•       Leadership experience: guiding teams, conducting reviews, driving architecture decisions.