Senior Software Engineer, Applied AI - Seattle - Evertune

Description

Overview

PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.

About Evertune AI: 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.

Your Team

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.

Your Role

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.

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

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 Have

• 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

Our Tech Stack

Python, FastAPI, MongoDB, REST APIs, Google Cloud (GCP), GitHub, Integrations with OpenAI, Google Gemini, Anthropic's Claude, LLama, DeepSeek, + other LLM APIs, , Javascript.

Culture & Values

At Evertune, we're building more than just groundbreaking AI products—we\'re building a culture where innovation, ownership, and empathy thrive. Here's what we value:

• Collaboration & Kindness: We're ambitious, but never at the expense of being respectful and inclusive.
• Bias for Action: We move fast, iterate quickly, and prefer learning through doing.
• Customer Obsession: Our product decisions are anchored in real-world customer needs and feedback.
• High Standards: We care deeply about quality—in our code, our design, and our communication.
• Ownership Mindset: Everyone is trusted to lead initiatives, make decisions, and own outcomes.

Compensation Philosophy & Benefits

Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.

Benefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.

Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.