Back-end Developer Software (Claude)

Company Description GeoSnake | AI Optimization helps businesses understand and improve how often their brands appear in AI-generated answers from tools such as Claude, ChatGPT, Gemini, and Perplexity. Instead of focusing only on traditional search rankings, GeoSnake specializes in Generative Engine Optimization (GEO), ensuring that AI systems can accurately recognize, describe, and recommend a business. The platform provides visibility into AI search behavior by tracking brand mentions across LLMs, measuring AI visibility scores, comparing competitors, and analyzing sources and sentiment. GeoSnake turns AI visibility into measurable, actionable insights so companies can see where they show up, where competitors are ahead, and what content needs improvement. It is designed for a future where customers rely on AI assistants for direct answers rather than just clicking search links.Role Description As a Backend Software Engineer (Claude) at GeoSnake | AI Optimization, you will design, build, and maintain backend services that integrate with Claude and other AI models to power GEO analytics and reporting. On a day-to-day basis, you will develop APIs, data pipelines, and scalable services, implement model interaction workflows, and optimize data storage and retrieval for brand visibility metrics. You will collaborate closely with product and data teams to translate AI visibility requirements into robust backend features, improve performance and reliability, and ensure secure handling of data. You will also help monitor and refine integrations with LLM providers, contribute to system architecture decisions, and support testing and deployment processes. This is a part-time, remote role, offering flexibility while working with a small, focused team in a rapidly evolving AI search space.Qualifications Strong backend engineering skills, such as experience with server-side programming languages (e.g., Python, Node.js, Go) and building RESTful or GraphQL APIs.Experience working with AI/LLM integrations, including calling model APIs (e.g., Claude), handling prompt/response flows, and designing systems around generative model outputs.Proficiency with databases and data processing, such as relational or NoSQL databases, data modeling, and building data pipelines or ETL workflows.Knowledge of cloud infrastructure and DevOps practices, including containerization (e.g., Docker), CI/CD, and deployment on major cloud providers.Familiarity with observability and reliability practices, such as logging, monitoring, performance tuning, and error handling in production systems.Ability to collaborate in a remote, cross-functional environment, communicate clearly about technical tradeoffs, and work independently on scoped projects.Understanding of digital marketing or SEO/GEO concepts, or a strong interest in AI search, brand visibility, and marketing technology is beneficial.Bachelor’s degree