Evertune AI is building the first AI discovery platform for modern marketers to help brands understand AI's perception of them, their competitive standing, and how to improve their visibility in AI-powered answers by applying real-time Data Science at scale.
Requirements
- Strong proficiency with modern backend languages (Python, Go, or similar)
- Experience designing scalable, high-performance data models and APIs
- Comfort working with distributed systems and cloud platforms (preferably GCP)
- Familiarity with integrating third-party APIs, especially high-throughput or real-time systems
- Experience working with LLM APIs or ML infrastructure
- Familiarity with MongoDB or other NoSQL databases
- Exposure to message queues or event-driven systems
Responsibilities
- Build and maintain backend services in Python
- Design and optimize data pipelines, storage systems, and real-time AI integrations
- Help integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic
- Collaborate with other engineers to deliver robust, user-facing features
- Debug and troubleshoot issues across the stack to ensure reliability and performance
- Participate in code reviews, standups, and sprint planning to support a high-velocity release cycle
- Contribute to team best practices, documentation, and internal tooling as we scale
Other
- 2–6 years of professional experience in backend or full stack software engineering, building high-quality user-facing or B2B products
- Excellent communication skills and a collaborative mindset
- Must be able to work in our Seattle office 2–3 days per week (hybrid model)
- Currently using LLMs to boost engineering workflows
- Startup or early-stage product experience
