Senior Software Engineer, Applied AI (Seattle)

Evertune•Seattle, WA

3d•Hybrid

About The Position

Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth. We apply real-time Data Science at scale to accomplish this. Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy. Backed by top-tier VC investors and trusted by forward-thinking brands, we move fast, think boldly, and believe the best ideas win – regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here. You’ll be joining Evertune’s software engineering team – small, focused, and deeply collaborative. We’re currently a distributed group of 8-10 engineers working across Seattle and New York, with a few contractors supporting specialized projects. While we span time zones, we operate with tight alignment and shared urgency. Our engineers ship fast, sweat the details, and genuinely enjoy building together. As one of the earliest hires on the team, you'll be helping to shape not just how we code – but how we grow, communicate, and scale. You’ll take deep technical ownership of the backend systems that power our AI Discovery platform, working at the bleeding edge of evaluating and applying LLMs to real-world problems. This includes designing distributed systems, optimizing AI integrations, and making architectural decisions that help us scale quickly and reliably. You’ll also help elevate the team by mentoring junior engineers and guiding best practices, architecture choices, and technical problem-solving.

Requirements

7+ years of experience building resilient, performant, and scalable backend systems for user-facing or B2B products
Expertise in Python or similar and distributed systems
Strong database design skills (MongoDB or similar)
Proven experience integrating with third-party APIs at scale
Proficiency with cloud platforms (preferably GCP), observability tools, and CI/CD workflows
Excellent communication and leadership-influence skills
Must be able to work in our Seattle office 2–3 days per week (hybrid model)

Nice To Haves

Experience with generative AI, LLM APIs, or ML infrastructure
Currently using LLMs to boost engineering workflows
Familiarity with message queues or event-driven systems
Prior startup or high-growth company experience

Responsibilities

Architect, build, and maintain scalable backend infrastructure in Python
Design resilient APIs, optimize data pipelines, and ensure system reliability
Help integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic
Debug and troubleshoot issues across the stack to ensure reliability and performance
Integrate with major AI APIs, managing performance, cost, and observability
Influence long-term technical direction and backend architecture
Mentor junior and mid-level engineers through code reviews and coaching
Collaborate across the stack to ship product features quickly and reliably