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Remote Fastapi Jobs in Atlanta, GA (NOW HIRING)

Senior Software Engineer

Atlanta, GA · Remote

$125K - $165K/yr

Remote-ready, async-first. Most decisions happen in writing through Jira, Confluence, PR ... Rails, FastAPI, .NET, Postgres, DynamoDB, MSSQL Server, Docker, Terraform * Cloud Providers: AWS ...

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Remote-ready, async-first. Most decisions happen in writing through Jira, Confluence, PR ... Rails, FastAPI, .NET, Postgres, DynamoDB, MSSQL Server, Docker, Terraform * Cloud Providers: AWS ...

Remote Fastapi information

What is the difference between Remote Fastapi vs Remote Django Developer?

AspectRemote FastapiRemote Django Developer
Required CredentialsPython, REST API, async programmingPython, Django framework, REST API
Work EnvironmentBackend API development, microservicesFull-stack or backend web development
Industry UsageTech startups, SaaS, microservices architectureWeb applications, content management systems
Search & Comparison IntentYesYes

Remote Fastapi and Remote Django Developer roles both involve Python development but focus on different frameworks. Fastapi is optimized for high-performance APIs and microservices, while Django offers a comprehensive web framework suitable for full-stack applications. The choice depends on project requirements and preferred tech stacks.

What are the most commonly searched types of Fastapi jobs in Atlanta, GA? The most popular types of Fastapi jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Fastapi jobs? Cities near Atlanta, GA with the most Remote Fastapi job openings:
GenAI / Agentic AI Engineer (RAG & LLM Apps

GenAI / Agentic AI Engineer (RAG & LLM Apps

ConglomerateIT LLC

Atlanta, GA • Remote

Contractor

Posted 11 days ago


Job description

Title:GenAI / Agentic AI Engineer (RAG & LLM Apps)
Location: US — Remote / Hybrid (multiple locations)
Type: Full-time or Contract (W2/C2C) 
Level: Mid–Senior (10+ Years Only)

We are hiring RAG-first GenAI engineers to build LLM-powered applications and agentic workflows for enterprise clients. This role centers on retrieval quality and reliable LLM integration as the foundation for agentic features.

What you'll do

  • Architect end-to-end RAG: chunking, embedding selection, hybrid/semantic search, re-ranking, citation and evaluation

  • Build LLM-powered microservices and APIs (FastAPI / REST)

  • Integrate and orchestrate LLMs (OpenAI, Claude, Gemini, Llama) into product and internal workflows

  • Add agentic behavior on top of RAG: tool-calling, multi-step task execution, guardrails, hallucination handling

  • Stand up and tune vector-store infrastructure; deploy and monitor in production

Must have

  • Strong Python

  • End-to-end RAG experience

  • Vector databases (Pinecone, Weaviate, pgvector, FAISS, or similar)

  • LLM API integration (OpenAI / Anthropic / Gemini / Llama)

  • LangChain and/or LlamaIndex

  • FastAPI / REST and one cloud (AWS, Azure, or GCP)

Nice to have

  • LangGraph, MCP, DSPy

  • Knowledge graphs / Neo4j, evals/LangSmith, MLOps

Founded in 2014, ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.