AI Product Engineer

NXT Level Technologies

• $110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of professional software engineering experience
  • Fluency with AI-forward software development workflows using LLMs and AI coding tools
  • Strong software design fundamentals and understanding of design patterns
  • Ability to convert ambiguous problems into clear designs and solutions
  • Experience building and maintaining products in fast-paced settings
  • Comfort with both frontend and backend systems
  • Strong collaboration skills with product, design, and engineering stakeholders

Responsibilities

  • Own product features from definition through launch and support
  • Break down product requirements into actionable technical plans
  • Build elegant systems and write high-quality, maintainable code
  • Collaborate with cross-functional teams to develop production features
  • Influence product direction by proposing ideas and improving processes
  • Balance immediate needs with long-term system architecture
  • Use AI tools and agents in the development process
  • Incorporate testing and monitoring practices into feature development

Benefits

  • Competitive salary and equity
  • Choice of new equipment and software
  • Health, dental, and vision insurance
  • High autonomy and ownership at work
Full Job Description
Software Engineer

Location: New York City
Employment Type: Full-time
Experience: 2+ years
Focus: AI-Native Engineering, GTM Automation, Revenue Technology, Full-Stack Product Engineering

About the Role

Our client is hiring a Software Engineer to help design, build, and scale core product features across the platform.

This is a high-ownership engineering role for someone who can take ambiguous product requirements, break them down, design a clean solution, ship production-quality code, and own the feature through launch, monitoring, and iteration.

The team works AI-first. Engineers are expected to use LLMs, coding agents, and AI-assisted workflows to move quickly without sacrificing quality, reliability, or long-term maintainability.

What You'll Do
  • Own product features end-to-end, from problem definition through design, development, testing, launch, monitoring, and support
  • Break down product requirements into clear technical plans and shipped outcomes
  • Build simple, elegant systems and write high-quality code that other engineers can easily understand and extend
  • Collaborate closely with product, design, and engineering to turn ideas into production features
  • Influence product direction with your own ideas and identify ways to improve user workflows and business processes
  • Balance immediate business needs with long-term architecture and platform quality
  • Build across backend, frontend, infrastructure, and AI systems depending on the problem
  • Use AI tools, LLMs, and agents as part of the software development lifecycle
  • Build testing, monitoring, and reliability into the way features are shipped
  • Help scale a platform used by modern go-to-market teams to improve sales execution and customer intelligence

What We're Looking For
  • 2+ years of professional software engineering experience
  • Fluency with AI-forward software development workflows using LLMs, agents, or AI coding tools
  • Experience building production-grade software without sacrificing quality for speed
  • Strong fundamentals in software design and knowing when to apply patterns like SOLID or similar principles
  • Ability to take ambiguous problems and turn them into well-reasoned designs and shipped solutions
  • Comfort owning features end-to-end across frontend and backend systems
  • Strong autonomy, ownership, and bias toward action
  • Experience building, launching, and maintaining products in fast-paced environments
  • Strong collaboration skills across product, design, engineering, and customer-facing stakeholders
  • Grit, adaptability, and comfort navigating ambiguity in an early-stage environment

Technical Experience

Our client is especially interested in engineers with experience in one or more of the following areas:
  • Go or another strongly typed backend language
  • Distributed systems, infrastructure, or scaling
  • LLM harnesses or agentic systems
  • Concurrent or asynchronous processing
  • Testing, monitoring, observability, and reliability
  • Full-stack product engineering

Technical Environment

Relevant technologies include: Go, PostgreSQL, Kubernetes, AWS, Kafka, Redit, Temporal Workflows, React, Tailwind, Next.js, GraphQL, LLMs and AI Agents.

Experience with every tool is not required. Strong engineering fundamentals, product ownership, and AI-native development ability matter more than exact stack match.

Benefits
  • Competitive salary and equity
  • Choice of new equipment and software
  • Health, dental, and vision insurance
  • High autonomy and ownership at work

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