Evertune
Senior Software Engineer, Full Stack
New York City or Seattle · Senior
Work authorization required$150k-$200kDetected 96 days ago
JavaScriptBackend DevelopmentNoSQLMongoDBLLMs
About the role
- 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.
- 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.
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
- 7+ years experience building and shipping production software as a full stack engineer
Requirements
- Deep expertise with modern JavaScript frameworks
- Must be AI-forward and actively using AI tools / LLMs to increase leverage and engineering efficiency
- Strong technical judgment and the ability to operate effectively in a fast-moving startup environment
- You must be based in the NYC or Seattle area and available to work in-office with the team 3x/week. (NYC office is located in Flatiron, Seattle office is located in U District)
Nice to have
- Familiarity with MongoDB or other NoSQL databases
- 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
- Here's what we value:
- 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
- Evertune does not accept unsolicited resumes from search firm recruiters.
Compensation
- $150,000 - $200,000 + stock options.
- 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.
- Our salary ranges are based on paying competitively for our size and industry.
- 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
- 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.
- include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.
- The annual base salary range for this position is: $150,000 - $200,000 + stock options.
Company info
- Evertune is building the first AI discovery platform for modern marketers.
Equal opportunity
- Evertune is an equal opportunity employer.
- equal opportunity employer.
Visa & Work Authorization
- 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.
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This listing is sourced directly from Evertune's careers page and normalized into a canonical job model.