Founding AI Engineer

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. WHY JOIN US? 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. RECENT WINS - 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 WE'D LIKE TO WORK ON - 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 http://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 ROLE 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 WHAT WE'RE LOOKING FOR (IDEALLY) - 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 OUR STACK - Frontend: React (TypeScr