Senior Software Engineer, Full Stack

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.

Your Team

You’ll join Evertune’s engineering team at a pivotal moment in the company’s growth. We’re a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York, Denver, and Seattle. We care deeply about craft, but we know great products are built through iteration - we value momentum, clear thinking, and people who turn ambiguity into product.

As an early member of the team, you’ll have a meaningful influence on what we build, how we build it, and how the engineering organization evolves as we scale.

This is a hybrid role based in the New York City, Seattle, or Denver/Boulder area. We have offices in NYC and Seattle, with a permanent Denver/Boulder office in development.

Your Role

As a Senior Full Stack Engineer at Evertune, you’ll build across the core product experience - from user-facing workflows to the backend systems and APIs that power them. We’re looking for a strong generalist who can move fluidly between frontend and backend, make smart tradeoffs, and ship thoughtful, high-impact product work in a fast-moving environment.

You’ll contribute directly to core product development and partner closely with product, design, and engineering to turn complex ideas into software that feels intuitive, useful, and differentiated. This role is ideal for an engineer who likes owning problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like.

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.

Responsibilities

• Own and develop key areas of Evertune’s product experience across frontend, backend, and APIs
• Build and ship end-to-end product features across the stack, from user-facing experiences to backend services and integrations
• Design, develop, and ship thoughtful, high-quality product experiences for cutting-edge AI products
• Build and evolve backend services and application logic that power core product workflows
• Collaborate closely with product, design, and engineering to turn complex ideas into clear, impactful user experiences
• Help create cohesion across multiple product areas into a unified, intuitive product experience
• Contribute to frontend architecture, backend design, and code standards across the stack
• Partner with engineering teammates to design clean APIs and ensure seamless integration across systems
• Debug and improve performance, reliability, responsiveness, and overall product quality
• Contribute to a team culture that values speed, craft, ownership, and candor

Requirements

• Must currently be located in the NYC, Seattle, or Denver area and able to work in-office 2-3x/week
• 7+ years experience building and shipping production software as a full stack engineer
• Strong experience working across modern frontend systems and backend services
• Deep expertise with modern JavaScript frameworks
• Experience building backend services and working with Python-based systems or similar
• Strong product instinct and a track record of building thoughtful, user-facing software
• Strong API design and integration skills
• Comfort with cloud platforms (preferably GCP), CI/CD workflows, and performance monitoring
• Forward-thinking about how AI is changing product development - whether that’s incorporating LLMs into workflows, building AI-native products, or using AI tools to move faster and improve quality
• Must be AI-forward and actively using AI tools / LLMs to increase leverage and engineering efficiency
• Excellent communication and collaboration skills, especially in cross-functional settings with design, product, and business stakeholders
• Strong technical judgment and the ability to operate effectively in a fast-moving startup environment

Nice to Have

• Familiarity with MongoDB or other NoSQL databases
• Experience building analytics products, data-heavy applications, or complex B2B workflows
• Experience building polished, intuitive user-facing product experiences
• Early-stage startup or founding engineer experience
• Exposure to the AI / LLM ecosystem or interest in large-scale model behavior
• Contributions to open-source projects or developer communities

Culture & Values

At Evertune, we’re building more than just groundbreaking AI products - we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:

• Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.
• Velocity: We move fast, iterate quickly and prefer learning through doing.
• Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.
• Openness: We welcome different perspectives and challenge each other’s ideas
• Ownership: We trust people to own decisions and 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.

The annual base salary range for this position is: $120,000 - $300,000 + stock options.

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.
• All aspects of employment will be based on merit, competence, performance, and business needs.