Senior Software Engineer, Back End

Evertune•Seattle, WA

1d•Hybrid

About The Position

Evertune is building the first AI discovery platform for modern marketers, helping brands understand what AI says about them, their competitive standing, and how to appear more often in AI-powered answers. The platform translates black-box AI behavior into actionable insights for marketing teams. Founded by leaders who scaled The Trade Desk, Evertune brings deep expertise in digital advertising, data, and high-growth environments, pioneering a new category at the intersection of AI, SEO, and brand strategy. The company raised a $15M Series A and is backed by top-tier VC investors. Evertune's culture values speed, bold thinking, and believes the best ideas win. You will join Evertune’s engineering team, a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York and Seattle. The team values craft, momentum, clear thinking, and turning ambiguity into product. As an early member, you will have a meaningful influence on what is built, how it is built, and how the engineering organization evolves. This role involves building the backend systems that power Evertune’s core product experience, including APIs, business logic, data flows, and integrations for AI-native workflows. Evertune is looking for a product-minded backend engineer who can translate complex requirements into clean, scalable services and help turn cutting-edge AI capabilities into reliable, intuitive software for customers. You will contribute directly to core product development and partner closely with product, design, and engineering to build systems that are thoughtful, performant, and built for iteration. This role is ideal for an engineer who enjoys owning backend problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like from the backend out. You should be excited by AI-native product experiences, energized by ambiguity, and already heavily using AI tools and LLMs in your own workflow to operate with greater leverage.

Requirements

Must currently be located in the Seattle area and able to work in-office 2-3x/week
7+ years of experience building and shipping production software for user-facing or B2B products, with substantial depth in backend engineering
Experience building scalable backend systems in Python or similar languages, with Python highly preferred
Strong fundamentals in system design, data modeling, testing, debugging, and performance optimization
Track record of building reliable product-facing services and integrations that directly support customer workflows
Comfortable working across APIs, databases, cloud infrastructure, observability, and CI/CD
Strong product instinct and a collaborative approach to working with product, design, and frontend engineers
AI-forward and actively using AI tools / LLMs to improve speed, quality, and engineering leverage
Strong communication skills, technical judgment, and comfort operating in a fast-moving startup environment

Nice To Haves

Experience building analytics products, data-heavy applications, or complex B2B workflows
Experience integrating and operating LLM or generative AI systems in production
Familiarity with MongoDB or other NoSQL databases
Experience with event-driven systems, queues, or streaming architectures
Familiarity with cloud infrastructure, containerized services, or infrastructure-as-code
Early-stage startup or high-growth company experience

Responsibilities

Own and build key backend systems that power Evertune’s product experience
Design, build, and maintain scalable backend services, APIs, and application logic 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