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.

Why join us?

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.

Role Responsibilities:

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.
  
  

What we’re looking for (ideally):

• 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.
  
  

Our Stack:

• Frontend: React (TypeScript)
• Backend: NestJS (TypeScript)
• Infrastructure: AWS, managed with Terraform
• Databases: PostgreSQL, ClickHouse
• ML/AI: Python, Hugging Face, custom pipelines leveraging multiple LLMs
  
  

Recent Wins:

• 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.
  
  

Backlog You Might Work On:

• 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
  
  

Compensation & Benefits:

• 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 asad@ltv.ai - we’d love to hear from you.