hirly

Ltv

Founding AI Engineer

Bangalore

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
1 Sept 2026

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the posting

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 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 (TypeScript)

Backend: NestJS (TypeScript)

Infrastructure: AWS managed with Terraform

Databases: PostgreSQL & ClickHouse

Compensation + Benefits

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 - [email protected].

Not looking but know someone who would make a great fit? Refer them! We pay up to $5000 per

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Founding AI Engineer at Ltv — hirly