Staff Software Engineer, AI & Platform

$180K - $240K New York, NY, US Senior AI Software Engineer

Interested in this AI Software Engineer role at Arketa?

Apply Now →

Skills & Technologies

JavascriptTypescript

About This Role

AI job market dashboard showing open roles by category

About Arketa

================

Arketa is building the operating system for modern fitness and wellness. Our mission is to make wellness more accessible by empowering studios and wellness entrepreneurs to grow beyond in\-person classes. We provide a powerful, all\-in\-one platform to manage and scale hybrid wellness businesses, whether online, in\-person, or both.

With Arketa, studios can manage schedules, accept bookings and payments, build on\-demand video libraries, host retreats, run automated marketing, and launch fully branded apps and websites. We make it simple for founders to deliver a seamless, professional experience across every customer touchpoint. We've raised $15M in Series A funding and are growing quickly. It's a unique moment to join us. We're building a category\-defining company in a fast\-moving space, and we're looking for a leader who is excited to help shape what world\-class partner support looks like in the wellness category.

About the Role

==================

We're hiring a Staff Software Engineer to build AI products our customers can feel, and to make the team around you faster while you do it.

Your first big surface is a customer\-facing AI product that takes meaningful operational work off a studio owner's plate and helps them grow. Alongside that, you'll help modernize core parts of our architecture, and build the agentic loops, CI, and observability that let a small team ship at a fast pace.

This is a product engineering role first. Internal tooling and developer experience are how you multiply the team, not the destination. Our customers are small business owners whose livelihoods depend on what you ship, so the feedback loop is short and the stakes are real.

This is a permanent individual contributor role. There is no management track, by design.

This role is hybrid 3x a week to our NYC office in NoHo.

About the team:

===================

You'll join a small, senior, fully distributed engineering team. We operate with high autonomy and very little process: a customer asks for something Monday, it's built Tuesday, shipped Wednesday, and we're reading their feedback by Friday. You can form a hypothesis, ship a small experiment, measure it, and iterate without waiting for permission.

We're an outlier in our industry in how aggressively we use AI tooling, and this role sets the pattern for everyone else. You'll partner directly with our engineering leaders on technical direction, and you'll mentor mid and junior engineers who will look to you for how the work gets done.

We've grown roughly over the past two years and we're financially disciplined, maintaining lots of runway. That means you get startup speed without startup precarity.

What You'll Do:

===================

  • Build AI products that let studio operators automate their operations so they can focus on the parts of their business they're most passionate about
  • Build agentic loops that improve the product, our codebase, our internal systems, and our ability to deliver for customers
  • Position us to get the most out of AI models as they continue to improve
  • Simplify our infrastructure and operations to make both our human and agent engineers faster
  • Improve our operational rigor and automated safety nets: detecting, alerting on, and responding to issues in production
  • Work across the stack (TypeScript, Node, NestJS, React, Postgres) to ship features and improvements daily
  • Mentor mid and junior engineers, and partner with engineering leadership to establish patterns the whole team adopts
  • Be accountable not just for your own output, but for how you help the team deliver more

What Success Looks Like

===========================

We believe in setting our team up to thrive.

First 30 days

  • Ship to production in your first week and keep shipping
  • Build working context on our stack, the migrations in flight, and where our biggest reliability gaps are
  • Land one self\-contained win that makes the team measurably faster

First 90 days

  • You've altered the way our engineers work, in a positive way, and introduced AI\-powered capability the team didn't have before
  • A meaningful piece of customer\-facing AI functionality is in front of real studios

First 6 months

  • You're seen as a model staff engineer here, and other engineers name you as a source they learn from
  • The patterns, safety nets, and tooling you've built are load\-bearing for how the team ships

What we're looking for:

===========================

  • 8\+ years of software engineering experience in most cases, though we care more about evidence than years
  • Full\-stack contributor. Deep expertise somewhere is great, but everyone here contributes across the stack. If you only want to work in one layer, this isn't the role
  • A JavaScript and TypeScript background. You can come from an adjacent ecosystem, but you should be fluent and happy in JS/TS
  • AI\-native. You actively use AI tooling in your daily work and you build agentic workflows, evals, and automation into how your team operates. Not just coding assistants
  • Scope of impact beyond a single team. You've influenced how engineering works at an org of roughly 20\+ engineers, not just shipped well within your own squad
  • A track record of leading successful migrations
  • Experience designing systems for reliability: observability, alerting, incident response
  • A history of influencing beyond your own work, including setting technical direction, establishing patterns others adopt, and raising the bar through code review, pairing, and mentorship
  • Strong product judgment: you can take an ambiguous customer problem, scope it pragmatically, and ship in small increments
  • Comfort operating with high autonomy and low process, creating the right amount of structure rather than waiting for it

Bonus:

==========

  • You care about wellness and fitness personally
  • You've built for entrepreneurs or small business owners before, or perhaps you’ve been one yourself
  • You’ve spent time both within a larger, established engineering org and within a high\-growth startup

You Should Apply If

=======================

  • You want to build for small business owners and care about how your work shows up in their day to day
  • You want to stay hands\-on at the staff level and go deeper as an IC, not move into management
  • You are drawn to the mission of making wellness more accessible

You May Not Want to Apply If

================================

  • You're looking for a path into people management in the next 12 to 18 months. This role is IC by design
  • You want to work in one layer of the stack only
  • You'd want to move us onto a different language or ecosystem
  • You see AI tooling as a nice\-to\-have rather than a core part of how you work
  • You want clearly scoped tickets, a defined roadmap, and a design doc before code
  • You want a slower pace or a more established later\-stage environment

What We Offer:

  • In\-office lunch and snacks
  • Ownership and Opportunity for Advancement
  • Competitive Salary and Stock Options
  • Unlimited PTO: *our policy is designed to give you the flexibility to rest, recharge, and take care of personal needs — while staying aligned with your team and responsibilities.*
  • Medical, dental and vision health insurance
  • Fitness Class Reimbursement: *we’re committed to supporting both employee wellness and our industry relationships. As an Arketa employee we see movement as opportunity.*
  • Parental Leave Policy

For this role, the estimated annual base salary is up to $180,000\- $240,000, depending on experience and qualifications. In addition to base pay, we offer equity. We believe in compensating fairly and transparently, and we’re happy to provide more detail during the interview process.

Compensation Range: $180K \- $240K

Salary Context

This $180K-$240K range is above the median for AI Software Engineer roles in our dataset (median: $185K across 231 roles with salary data).

Role Details

Company Arketa
Title Staff Software Engineer, AI & Platform
Location New York, NY, US
Category AI Software Engineer
Experience Senior
Salary $180K - $240K
Remote No

About This Role

AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.

The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.

Across the 4,317 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Arketa, this role fits into their broader AI and engineering organization.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

What the Work Looks Like

A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

Skills Required

Javascript (6% of roles) Typescript (7% of roles)

Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.

Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.

Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

Compensation Benchmarks

AI Software Engineer roles pay a median of $218,500 based on 729 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. Disclosed range: $180K to $240K.

Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.

Arketa AI Hiring

Arketa has 1 open AI role right now. They're hiring across AI Software Engineer. Based in New York, NY, US. Compensation range: $240K - $240K.

Location Context

AI roles in New York pay a median of $220,000 across 1,650 tracked positions.

Career Path

Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.

From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.

If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.

What to Expect in Interviews

Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.

When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

AI Hiring Overview

The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.

The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

The AI Job Market Today

The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 729 roles with disclosed compensation, the median salary for AI Software Engineer positions is $218,500. Actual compensation varies by seniority, location, and company stage.
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
About 15% of the 4,317 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Arketa is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Software Engineer positions include Staff Engineer, AI Architect, Engineering Manager. Progression depends on whether you lean toward technical depth, people management, or product strategy.

Get Weekly AI Career Intelligence

Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.