Senior Software Engineer, Back End

About the role

You will own the design and implementation of the backend systems that power the AI discovery platform, translating ambiguous product requirements into reliable, scalable services. You will build and maintain the APIs and business logic that turn complex AI workflows into intuitive customer experiences. You will integrate with external AI providers and optimize data flows to ensure performance and reliability at every layer. You will collaborate directly with product and design to shape the technical direction of core features from the backend out. You will debug and troubleshoot production issues while influencing architectural decisions that enable fast, sustainable growth. You will model and manage data to support evolving product needs and complex AI-driven use cases. You will contribute to a culture of speed, craft, ownership, and candor within a tight-knit engineering team. If you are excited about shaping how brands grow in the age of AI, you will thrive in this role.

Key facts

What you'll do

• Own and build key backend systems that power Evertune's product experience from APIs to data flows.
• Design, build, and maintain scalable backend services, APIs, and application logic primarily in Python.
• Ship product-facing backend features that support customer workflows, insights, and AI-driven experiences.
• Design resilient APIs, optimize backend performance, and improve system reliability as product usage grows.
• Integrate and test third-party APIs, including LLM providers like OpenAI, Anthropic, Google, and others.
• Collaborate closely with product, design, and engineering to turn complex requirements into clean, reliable systems.
• Model and manage data in ways that support evolving product needs and scalable application development.
• Debug and troubleshoot issues across backend services, integrations, and production systems.
• Influence backend architecture and technical decisions that help the team move quickly and sustainably.
• Contribute to a team culture that values speed, craft, ownership, and candor.

Requirements

• Must currently be located in the NYC or Seattle area and able to work in-office 2-3 times per week.
• Must be a U.S. citizen or a Green Card holder, with no need for visa sponsorship now or in the future.
• Must have 7+ years of experience building and shipping production software for user-facing or B2B products.
• Must bring substantial depth in backend engineering across the full lifecycle of user-facing services.
• Must have experience building scalable backend systems in Python or similar languages, with Python highly preferred.
• Must possess strong fundamentals in system design, data modeling, testing, debugging, and performance optimization.
• Must have a track record of building reliable product-facing services and integrations that directly support customer workflows.
• Must be comfortable working across APIs, databases, cloud infrastructure, observability, and production environments.
• Must be energized by ambiguity and able to turn vague requirements into well-defined technical solutions.
• Must be excited by AI-native product experiences and already leverage AI tools and LLMs in your own workflow.
• Must thrive in a fast-moving environment where ownership, speed, and iterative delivery are highly valued.
• Must be prepared to collaborate closely with cross-functional partners to define and deliver on product goals.
• Must communicate clearly and contribute to candid, constructive discussions that prioritize the product and the user.
• Must be committed to writing clean, maintainable code and participating in thoughtful technical discussions.

Nice to have

• Experience contributing to open source or building public-facing developer tools.
• Familiarity with SEO, digital advertising, or brand-related data platforms.
• Knowledge of modern observability practices and monitoring tools.
• Experience with containerization, orchestration, and cloud deployment patterns.

Practical notes

You must be based in the NYC or Seattle area and available to work in-office with the team 2-3 times per week. The NYC office is located in Flatiron, and the Seattle office is located in the U District.