Python Developer with LLM & AI Tools

As a Python Engineer at NextBurb, you will be responsible for building robust Python-based systems to process and analyze real estate data at scale. You will have the opportunity to apply LLMs and AI tools to rank properties, recommend neighborhoods, and personalize user experiences. Additionally, you will automate data flows, web scraping, API integrations, and enrichment pipelines, connecting to tools like Zillow, Google Maps, Vector DBs, and CRM APIs + Real Estate MLS. Furthermore, you will contribute to building internal tools that enable the team to work more efficiently, from dashboards to data validators. To excel in this role, you should have at least 2 years of professional experience, although recent graduates and self-taught developers are also welcome. Proficiency in Python and a keen interest in data, automation, and applied AI are essential. Experience with LLM APIs (such as OpenAI, Claude), vector databases, or tools like LangChain will be advantageous. You should enjoy solving complex data problems and writing clean, modular code. Exposure to FastAPI, Postgres, Redis, or frontend technologies like React would be considered a bonus. At NextBurb, you will have the opportunity to earn in USD with performance-based annual bonuses. You will benefit from remote work flexibility, allowing you to manage your own time and workspace. Your work will have a direct impact on the business as you will see your contributions go live and drive business outcomes. Working at NextBurb means collaborating directly with technical founders in a high-trust, no-BS team environment. If you are a dynamic individual who is passionate about working with cutting-edge technology, enjoys fast-paced environments, and is fluent in AI tools, then apply now or share this opportunity with someone who would be a perfect fit for this role at NextBurb.,