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 TeamYou'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 RoleIn this role, you'll build the backend systems that power our core product experience - from APIs and business logic to the data flows and integrations behind AI-native workflows. We're looking for a product-minded backend engineer who can translate complex requirements into clean, scalable services and help turn cutting-edge AI capabilities into reliable, intuitive software for customers.
You'll contribute directly to core product development and partner closely with product, design, and engineering to build systems that are thoughtful, performant, and built for iteration. This role is ideal for an engineer who enjoys owning backend problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like from the backend out.
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 build key backend systems that power Evertune's product experience
- Design, build, and maintain scalable backend services, APIs, and application logic in Python
- Ship product-facing backend features that support customer workflows, insights, and AI-driven experiences
- Design resilient APIs, optimize backend performance, and improve system reliability as product usage grows
- Integrate and test third-party APIs, including LLM providers like OpenAI, Anthropic, Google, and others
- Collaborate closely with product, design, and engineering to turn complex requirements into clean, reliable systems
- Model and manage data in ways that support evolving product needs and scalable application development
- Debug and troubleshoot issues across backend services, integrations, and production systems
- Influence backend architecture and technical decisions that help the team move quickly and sustainably
- Contribute to a team culture that values speed, craft, ownership, and candor
Requirements- Must currently be located in the NYC, Denver, or Seattle area and able to work in-office 2-3x/week
- 7+ years of experience building and shipping production software for user-facing or B2B products, with substantial depth in backend engineering
- Experience building scalable backend systems in Python or similar languages, with Python highly preferred
- Strong fundamentals in system design, data modeling, testing, debugging, and performance optimization
- Track record of building reliable product-facing services and integrations that directly support customer workflows
- Comfortable working across APIs, databases, cloud infrastructure, observability, and CI/CD
- Strong product instinct and a collaborative approach to working with product, design, and frontend engineers
- AI-forward and actively using AI tools / LLMs to improve speed, quality, and engineering leverage
- Strong communication skills, technical judgment, and comfort operating in a fast-moving startup environment
Nice to Have- Experience building analytics products, data-heavy applications, or complex B2B workflows
- Experience integrating and operating LLM or generative AI systems in production
- Familiarity with MongoDB or other NoSQL databases
- Experience with event-driven systems, queues, or streaming architectures
- Familiarity with cloud infrastructure, containerized services, or infrastructure-as-code
- Early-stage startup or high-growth company experience
Culture & ValuesAt 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.
