Senior AI / ML Engineer

At LTV.ai, we’re redefining customer engagement for e-commerce brands by empowering them with their own AI-powered ambassadors to deliver hyper-personalized Email and SMS interactions at an unprecedented scale.

Our platform enables brands to communicate with their audience in a natural and contextually relevant manner, driving higher engagement and conversion rates. While increasing LTV and driving measurable growth, we help brands stay focused on what matters most - the customer.

We’re a fast-moving team building a high-growth company that’s transforming the e-commerce industry. As an early team member, you’ll play a key role in shaping both our product and the future of e-commerce, with the opportunity to grow alongside us.

As a Senior AI / ML Engineer, you’ll be an individual contributor focused on leveling up our AI/ML product experiences and infrastructure. You’ll take core systems from V1 to V2 and beyond - with an emphasis on performance, reliability, and ML-driven value creation for our customers.

Your scope will include:

• Evolving our segmentation engine to enable more precise, adaptive audience creation using behavioral, conversational and transactional data.

• Improving our product recommendation engine to deliver real-time, context-aware suggestions across messaging channels.

• Enhancing our personalization engine to dynamically tailor content and offers at scale, with deeper user modeling.

• Strengthening AI infrastructure to ensure system reliability, latency improvements, and better orchestration of multi-model pipelines.

• Partnering with Product and Engineering to embed ML best practices across our platform, from training workflows to model deployment.

• Contributing to architectural decisions, experimenting with new approaches (e.g., Retrieval Augmented Generation, vector search), and helping scale our infrastructure intelligently.

• 2 - 3+ years of experience building AI/ML-powered products or infrastructure at scale.

• Strong understanding of supervised learning, ranking systems, and personalization strategies.

• Hands-on experience with tools like PyTorch, TensorFlow, Hugging Face, or similar ML libraries.

• Familiarity with real-time or batch data pipelines, and deploying models in production.

• Comfortable optimizing across performance, cost, and user impact.

• Bonus: Experience in e-commerce, recommendation systems, or LLM-driven workflows.

• Frontend: React (TypeScript)

• Backend: NestJS (TypeScript)

• Infrastructure: AWS, managed with Terraform

• Databases: PostgreSQL, ClickHouse

• ML/AI: Python, Hugging Face, custom pipelines leveraging multiple LLMs

• Launched a personalization engine that scales to 40M+ users with 10% MoM growth.

• Built multi-model orchestration to optimize LLM interactions for cost and accuracy.

• Partnered with major e-commerce brands like Fabletics and Sur La Table to deliver personalized marketing at scale.

• Deeper segmentation and dynamic user memory

• Agentic AI workflows for continuous interaction optimization at an individual and brand level

• Embedding-based personalization at the message level

• Real-time model switching and routing infrastructure

• Base depends a lot on the person but we reward A players

• Equity included

If you’re curious, ambitious, and hungry to build something big, feel free to email our founder directly [email protected] - we’d love to hear from you.