Senior Software Engineer (AI Products)

Mutiny

$130K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of engineering experience, particularly in AI and LLMs
  • Proven track record of developing and deploying full-stack applications
  • Expertise in a backend programming language like Python, TypeScript, Kotlin, or Ruby
  • Strong understanding of architecture, reliability, and performance in AI systems
  • Excellent written and verbal communication skills, especially for technical concepts
  • Experience in mentoring and code review, fostering team improvement

Responsibilities

  • Architect and launch the Campaign Builder and Agent experiences end-to-end
  • Ensure reliability of AI models, preventing customer exposure to failures
  • Establish metrics for quality assurance and consistency across products
  • Optimize speed and interactions between user intent and AI response
  • Collaborate with product and design teams to prototype solutions and drive product direction
  • Lead and shape engineering practices for future team members

Benefits

  • In-person collaboration in a dynamic NYC office environment
  • Opportunity to influence the direction of a cutting-edge GTM platform
  • Engagement in rapid prototyping and product definition processes
  • Chance to mentor and lead junior engineers
  • Regular shipping of product updates, enhancing job satisfaction
Full Job Description
The opportunity

Most engineers spend their career making predictable systems faster. You'll spend yours making non-deterministic ones trustworthy. As a senior engineer on our AI product team, you'll architect the Campaign Builder and Agent experiences marketers and sellers open every day to go from idea to personalized assets in minutes. You'll partner directly with product, design, and the founders to define what an agent-first GTM platform should feel like, and your calls on architecture, evals, and guardrails compound across thousands of customer accounts. This role is in person in New York City, five days a week, and we ship weekly.

What you'll own
  • The core agent surfaces. Architect and ship the Campaign Builder and Agent experiences end-to-end. Frontend, backend, prompts, evals, the whole stack.
  • Reliability on top of LLMs. Make non-deterministic models feel deterministic at the surface. Build the retries, fallbacks, and orchestration so the customer never sees the failure mode.
  • Evals and guardrails. Define how we measure quality, catch regressions, and keep brand and tone consistent across thousands of customer accounts.
  • Speed and feel. AI products live or die by latency and the loop between intent and output. You'll obsess over both, and use coding agents and agent networks to ship faster than felt possible last year.
  • Product definition. You're not waiting for a spec. You sit with product and design, prototype the hardest interactions yourself, and decide what ships.
  • The next ten engineers. What you ship defines how we build. Code review, hiring, and the architectural calls that shape the next year.


Who you are
  • Full-stack by instinct. You're autonomous from prompt to backend to UI. You'd rather own a feature end-to-end than hand off pieces and hope.
  • AI-native. You've shipped on top of LLMs in production. RAG, evals, agent frameworks, coding agents. You know which abstractions hold up at scale and which were research-paper hype.
  • Sharp at the fundamentals. You're strong in a backend language (Python, TypeScript, Kotlin, Ruby, pick your weapon) and you write code that still reads well a year later.
  • A clear communicator. You explain nuanced technical decisions in writing and in real time. Your design docs make the room smarter.
  • Builds in ambiguity. Specs are sketches at Mutiny. You'd rather prototype the hard interaction yourself than wait for clarity.
  • Raises the bar. You make the engineers around you better. Sharp in code review, generous with junior engineers, direct when something is wrong.

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