1

Contract Backend Developer Jobs in Powder Springs, GA

... Backend DevOps team for the supply chain vertical business lines (VBL's). The team is responsible ... Interview, select, onboard, and oversee contract engineers * Assist in the design and delivery of ...

Staff Java Developer

Atlanta, GA · On-site

$49 - $63.50/hr

The ideal candidate is comfortable working across both Java backend services and React/Node.js ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

UI Developer

Atlanta, GA · On-site

$48 - $62.50/hr

UI Developer with Angular Alpharetta, GA(Onsite, locals only) Contract JD: • 10+ years of ... and Backend teams to deliver integrated solutions • Own the end-to-end SDLC, ensuring high ...

Showing results 21-40

Contract Backend Developer information

See Powder Springs, GA salary details

$11

$54

$79

How much do contract backend developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for contract backend developer in Powder Springs, GA is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $64.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a contract backend developer, and why are they important?

To thrive as a Contract Backend Developer, you need strong programming skills in languages like Python, Java, or Node.js, along with experience in database management and API development, supported by a relevant degree or proven project experience. Familiarity with frameworks (such as Django, Spring, or Express), cloud services (like AWS or Azure), and version control systems (e.g., Git) is typically expected. Excellent problem-solving abilities, strong communication, and the ability to quickly adapt to new codebases and team environments set top contractors apart. These skills and qualities are crucial for delivering reliable, scalable backend solutions and integrating smoothly into diverse project teams.

What are some common challenges faced by contract backend developers when joining a new project?

Contract Backend Developers often encounter challenges such as quickly understanding existing codebases, adapting to different tech stacks, and aligning with the team's development practices. Since contract roles usually have tight deadlines, developers must rapidly familiarize themselves with project documentation and workflows. Effective communication with team members and proactive clarification of requirements are essential to ensure smooth integration and successful project outcomes.

What is a contract backend developer?

Contract backend developers are professionals hired on a temporary or project basis to build and maintain the server-side logic, databases, and APIs that power web or mobile applications. They work behind the scenes to ensure that applications function smoothly, handle data efficiently, and communicate effectively with front-end systems. Unlike full-time employees, contract backend developers typically work for a set duration or on specific projects, offering flexibility to both clients and developers. They often bring specialized expertise in programming languages such as Python, Java, Node.js, or Ruby, and may work remotely or on-site depending on the contract terms.
What job categories do people searching Contract Backend Developer jobs in Powder Springs, GA look for? The top searched job categories for Contract Backend Developer jobs in Powder Springs, GA are:
Infographic showing various Contract Backend Developer job openings in Powder Springs, GA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,713 per year, or $54.7 per hour.

Data Scientist with Python AI/ML

Accord Technologies Inc.

Atlanta, GA • On-site

Contractor

Re-posted 19 hours 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: RedisPostgres with pgvectorElasticsearchNeo4j, 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:
RedisPostgres/pgvectorElasticsearch, 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.