Software Engineer, Full Stack (NYC)

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.

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 work across our Vue.js frontend and Python-based backend, with a slight emphasis on building polished, performant, and intuitive user interfaces. You’ll help create experiences that make complex AI insights feel clear and actionable for marketers. While your work will lean frontend, you’ll be equally comfortable shipping backend logic to support those features.

This is a great role for someone who thrives on solving hard technical problems and wants to grow quickly in a high-ownership environment. You’ll ship meaningful features, learn from experienced teammates, and benefit from a strong mentorship culture that will help you level up fast. You’ll gain exposure to everything from complex data interfaces to the systems that power them. If you’re excited about building in the AI space and want to move fast with a small, talented team, you’ll fit right in.

Responsibilities:

• Design, develop, and ship intuitive, high-performance UIs using Vue.js and Vuetify

• Build and maintain backend features in Python

• Help integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic

• Partner with design and product to define user-facing features and improve UX

• Ensure clean API design and efficient integration across the stack

• Debug and troubleshoot issues across the stack to ensure reliability and performance

• Champion performance, accessibility, and responsive design standards

• Participate in code reviews, stand ups, and sprint planning

Requirements:

• 2–6 years of professional software engineering experience, ideally in full stack roles building high-quality user-facing or B2B products

• Proficiency with a modern JavaScript framework (Vue.js preferred, React/Angular also welcome)

• Strong backend skills in Python or similar

• Familiarity with cloud platforms (preferably GCP) and CI/CD workflows

• Experience integrating with RESTful APIs and backend systems

• Strong collaboration and communication skills

• Must be able to work in our NYC office 2–3 days per week (hybrid model)

Nice to Have:

• Experience with MongoDB or other NoSQL databases

• Exposure to data-rich UI development or analytics dashboards

• Currently using LLMs to boost engineering workflows

• Interest in AI/LLM-powered products
  

Our Tech Stack:
Vue.js, Javascript, Python, FastAPI, MongoDB, REST APIs, Google Cloud (GCP), GitHub, Integrations with OpenAI, Google Gemini, Anthropic’s Claude, LLama, DeepSeek, + other LLM APIs.

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.