Ltv

Founding AI Engineer

2mo ago
WorldwideSenior
Ltv

Founding AI Engineer

2mo ago
WorldwideSenioraidata pipelinemachine learningllmchatbot

Early engineering hire responsible for developing AI features and data infrastructure for an e-commerce email marketing platform.

Responsibilities

  • Own features end-to-end — from architecture and data modeling through implementation, rollout, and iteration in production
  • Work across the full backend surface: AI features, core platform architecture, and data pipelines that move millions of events daily
  • Use AI coding tools aggressively (unlimited tokens) to ship faster — while taking full responsibility for the quality, correctness, and maintainability of every line that lands in main
  • Design and build AI-native systems: multi-agent workflows, model routing, evals, and real-time feedback loops
  • Make architectural calls that hold up under growth — and revisit them when they don't
  • Pair closely with product, AI, and data on the highest-leverage work, not just the assigned tickets
  • Raise the engineering bar: code review, design review, and pushing back when something isn't ready for production

Requirements

  • 4+ years of backend engineering experience with a track record of owning systems end-to-end in production
  • Strong engineering taste — you know the difference between shipped code and AI-generated slop, and you ship the former. Lines of code are not a flex; durable, well-reasoned systems are.
  • AI-native mindset — you instinctively reach for AI tools to move faster, but you treat their output as a draft, not a deliverable. You can oversee AI-generated work and catch what it gets wrong.
  • Experience scaling production systems in fast-moving SaaS, messaging, or e-commerce environments
  • Comfortable with TypeScript (NestJS) and AWS-based infrastructure, or able to ramp quickly
  • Real interest in LLMOps, AI application infrastructure, and the tooling around evals, prompt management, and agentic systems
  • Pragmatic and adaptable — you can hold speed and quality at the same time and don't see them as a tradeoff
  • Founder mentality — you build systems, you don't wait to inherit them

Conditions

  • We're a fast-moving team building a high-growth company that's transforming the e-commerce industry.
  • As an early engineering hire, you'll own meaningful surface area from day one — shipping AI features, shaping architecture, and building the data infrastructure that powers the platform.
  • You'll have the autonomy to drive features end-to-end and the leverage of unlimited AI tokens to move at a pace most teams can't match.
  • Competitive compensation, equity, and a commitment to your personal and professional growth.
  • If this role sounds like it could be a fit, we'd love to hear from you! Feel free to reach out to our founder directly
  • Not looking but know someone who would make a great fit? Refer them! We pay up to $5000 per

Other

  • At LTV.ai, we're redefining email marketing for e-commerce brands by automating a lot of the day-to-day manual grunt work that goes into email marketing, from segmentation, to creating campaigns without designers, to personalization.
  • While increasing LTV and driving measurable growth, we help brands stay focused on what matters most - the customer.
  • Went from 0 to $1M ARR in 6 months and just closed a growth round of funding
  • Built a segmentation engine that personalizes interactions across 70m+ consumers per month (growing 10% MoM) using e-commerce platform data, in a compliant manner, at scale
  • Stood up a data pipeline handling millions of events daily
  • Built an agentic tool-calling chat flow that automates email campaign production at scale
  • Built a chat-to-DB layer that proactively suggests customer lists to send to
  • Enabled multi-LLM routing for a single interaction, optimized for performance while reducing costs
  • Deepening our AI infrastructure: customer-level memory, agentic workflows, smarter model routing, and self-optimizing conversation engines
  • Scaling our data pipelines to handle the next order of magnitude of events without compromising latency or cost
  • Expanding self-service so any e-commerce brand can onboard and get value from LTV.ai without white-glove handoff
  • Pushing our image and content generation capabilities so brands can ship a wider range of emails at lower cost
  • Driving proactivity across the platform — from recommending the right customer lists and campaigns to expanding beyond email into multi-channel
  • Frontend: React (TypeScript)
  • Backend: NestJS (TypeScript)
  • Infrastructure: AWS managed with Terraform
  • Databases: PostgreSQL & ClickHouse