Work Hard EverywhereJob Description
Headquarters:
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 developer will work closely with a distributed team and should be available for several hours of overlap with US working hours.
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.
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.
- Integrate commercial and open-source LLMs, including Azure OpenAI, OpenAI, Anthropic Claude, Gemini, and comparable models.
- Implement conversation memory, session...
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 developer will work closely with a distributed team and should be available for several hours of overlap with US working hours.
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.
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.
- Integrate commercial and open-source LLMs, including Azure OpenAI, OpenAI, Anthropic Claude, Gemini, and comparable models.
- Implement conversation memory, session...