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# Python Engineer

- **Company:** Hitapps Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Code Review, Continuous Integration, Relational Databases, Django Web Framework, Python (Programming Language), PostgreSQL, MySQL, OAuth, RabbitMQ, Rapid Prototyping Process, Redis, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Caching, Backend, Fastapi, Build Management, Pytest, AI Platforms, Apache Kafka, Celery, Restful APIs, Streamlit Framework, Webhooks, Data Pipelines, Api Management, Docker
- **Published:** June 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8cfc151f9ef1f70a

## About the Role

Do you have experience in Decision making?, * Proficient in Python;

 * Experience in building backend services and designing REST APIs (FastAPI / Django REST / Flask);
 * Experience with relational databases (Postgres / MySQL);
 * Experience with queues and background tasks (Celery / RabbitMQ / Kafka);
 * Redis (caching, queues, pub/sub);
 * Third-party API integrations: REST, OAuth, webhooks;
 * Docker, working with S3-compatible storage;
 * Testing culture (pytest), PR/code review workflow, understanding of CI/CD and observability;

Will be a plus:

 * RAG systems, embeddings, vector databases (pgvector);
 * Working with LLM APIs (Anthropic, OpenAI): prompting, tool calling;
 * Agent frameworks (LangChain, LlamaIndex, LangGraph);
 * LLM evaluation frameworks (RAGAS, deepeval);
 * AI rapid prototyping tools (Streamlit, Gradio);
 * Modern Python tooling (ruff, uv, pyproject.toml, pyright).

## Description

Currently, we are seeking a skilled Python Engineer to design and build the backend systems of our internal AI platform.

Your Role:

 * Design and develop Python services and platform REST APIs;
 * Build and maintain data processing pipelines;
 * Develop integrations with internal data sources;
 * Implement search and AI-powered workflows on top of the platform;
 * Build tooling for measuring and maintaining system quality;
 * Own service deployment and operations at launch;
 * Participate in roadmap planning and architectural decision-making.


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