Python Backend Development Talent with RAG and Agentic AI Experience

Job Overview

Summary: We are seeking an experienced Python Backend Developer to design, build, and deploy scalable AI-powered applications using Retrieval-Augmented Generation, large language models, and agentic AI frameworks.

The role will focus on delivering a production-grade RAG system and AI chatbot that can securely integrate with enterprise data, APIs, databases, and cloud services.

Job Description

The developer will work closely with a distributed team and should be available for several hours of overlap with US working hours.

The technology environment includes Python, FastAPI, large language models, LangGraph, LangChain, vector databases, Azure AI services, AWS, Docker, Kubernetes, and microservice-based architectures.

Task and deliverables: Design the end-to-end architecture for a scalable RAG system and AI chatbot. Develop Python backend services, REST APIs, and microservices using FastAPI or similar frameworks.

Build document ingestion, chunking, embedding, indexing, retrieval, and reranking pipelines. Implement vector search solutions using Azure AI Search or comparable vector databases.

Design autonomous AI agents capable of planning, reasoning, tool usage, and decision-making. Develop multi-step AI workflows using LangGraph, LangChain, CrewAI, AutoGen, or similar orchestration frameworks.

Key Responsibilities

• Summary: We are seeking an experienced Python Backend Developer to design, build, and deploy scalable AI-powered applications using Retrieval-Augmented Generation, large language models, and agentic AI frameworks.
• The role will focus on delivering a production-grade RAG system and AI chatbot that can securely integrate with enterprise data, APIs, databases, and cloud services.
• General information: The organization is developing an AI-powered platform and requires an experienced individual contributor to build its RAG architecture and conversational AI capabilities.
• The project involves designing AI systems that go beyond basic prompt engineering, including multi-step workflows, autonomous agents, vector search, knowledge retrieval, memory management, and tool integration.
• Task and deliverables: Design the end-to-end architecture for a scalable RAG system and AI chatbot.
• Build document ingestion, chunking, embedding, indexing, retrieval, and reranking pipelines.
• Implement conversation memory, session management, context management, and agent collaboration patterns.
• Implement prompt management, structured outputs, guardrails, fallback logic, and model evaluation processes.

Required Skills and Qualifications

• Summary: We are seeking an experienced Python Backend Developer to design, build, and deploy scalable AI-powered applications using Retrieval-Augmented Generation, large language models, and agentic AI frameworks.
• General information: The organization is developing an AI-powered platform and requires an experienced individual contributor to build its RAG architecture and conversational AI capabilities.
• The project involves designing AI systems that go beyond basic prompt engineering, including multi-step workflows, autonomous agents, vector search, knowledge retrieval, memory management, and tool integration.
• The solution must be scalable, secure, observable, and suitable for production use.
• Required experience: Required: 8 or more years of professional Python backend development experience.
• Required: Strong experience designing REST APIs, microservices, asynchronous services, and distributed backend systems.
• Required: Hands-on experience building production-grade RAG applications.
• Required: Strong understanding of embeddings, document chunking, semantic search, vector indexing, retrieval strategies, and reranking.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Toptal is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.