Software Backend Developer (Claude + Lovable)
North America
July 12, 2026 at 6:53 PM
Location
- Casper, WY (Remote)
Languages
- Python
- Node.js
- Go
Databases
- Relational databases
- NoSQL databases
Company Description
GeoSnake | AI Optimization helps businesses understand and improve how often their brands appear in AI-generated answers. Instead of focusing only on traditional search engines, GeoSnake specializes in Generative Engine Optimization (GEO), ensuring companies are found, mentioned, and recommended by AI tools such as Claude, ChatGPT, Gemini, and Perplexity. The platform provides visibility into the AI search landscape by tracking brand mentions across large language models, measuring AI visibility scores, comparing competitors, and analyzing sources and sentiment. GeoSnake turns AI visibility into measurable and actionable insights, helping business owners see where they show up, how competitors perform, and what content or business information needs improvement. It is built for the shift from SEO to GEO, preparing organizations for a future where customers increasingly rely on AI assistants for direct answers and recommendations.
Role Description<
/strong>This is a full-time remote role for a Software Backend Developer (Claude + Lovable) at GeoSnake | AI Optimization. The Software Backend Developer will design, implement, and maintain backend services that power AI visibility tracking, analytics, and reporting features, with a particular focus on integrating and orchestrating workflows across Claude and Lovable. Responsibilities include building APIs, data pipelines, and microservices that ingest, process, and store AI-generated data at scale, ensuring performance, reliability, and security. The role involves collaborating closely with product and data teams to translate business requirements into technical solutions, optimize queries and data models, and support experimentation with prompts, scoring algorithms, and AI analysis tools. The developer will also contribute to architectural decisions, code reviews, automated testing, and documentation to maintain a high-quality, maintainable codebase in a fast-moving environment.
Qualifications
- Strong backend engineering skills, including proficiency with modern server-side languages and frameworks (e.g., Python, Node.js, Go, or similar) and experience building RESTful or GraphQL APIs.
- Experience working with AI/LLM ecosystems, including integrating with tools such as Claude and other AI platforms, designing prompt workflows, and handling AI-generated content programmatically.
- Solid data engineering and storage skills, including relational and NoSQL databases, query optimization, data modeling, and building scalable data pipelines.
- Knowledge of cloud infrastructure and DevOps practices, such as containerization (Docker), CI/CD workflows, monitoring, logging, and deployment on major cloud providers.
- Background in software quality and maintainability, including unit and integration testing, code reviews, documentation, and adherence to security and reliability best practices.
- Ability to collaborate in a remote-first environment, communicate clearly with cross-functional teams, and work autonomously on complex technical problems.
- Bachelor’s degree in Computer Science, Engineering, or a related