Join to apply for the Senior AI / ML Engineer role at LTV.ai . At LTV.ai, were redefining customer engagement for ecommerce brands by empowering them with their own AIpowered ambassadors to deliver hyperpersonalized 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 helping them stay focused on what matters most the customer. Why join us? Were a fastmoving team building a highgrowth company thats transforming the ecommerce industry. As an early team member, youll play a key role in shaping both our product and the future of ecommerce, with the opportunity to grow alongside us. Role Responsibilities Evolving our segmentation engine to enable more precise, adaptive audience creation using behavioral, conversational and transactional data. Improving our product recommendation engine to deliver realtime, contextaware 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 multimodel 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 were looking for (ideally) 23+ years of experience building AI/MLpowered products or infrastructure at scale. Strong understanding of supervised learning, ranking systems, and personalization strategies. Handson experience with tools like PyTorch, TensorFlow, Hugging Face, or similar ML libraries. Familiarity with realtime or batch data pipelines, and deploying models in production. Comfortable optimizing across performance, cost, and user impact. Bonus: Experience in ecommerce, recommendation systems, or LLMdriven 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 multimodel orchestration to optimize LLM interactions for cost and accuracy. Partnered with major ecommerce 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 Embeddingbased personalization at the message level Realtime model switching and routing infrastructure Compensation & Benefits Base depends on the person but we reward A players. Equity included. If youre curious, ambitious, and hungry to build something big, feel free to email our founder directly [email protected] - wed love to hear from you. Seniority level MidSenior level Employment type Fulltime Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at LTV.ai by 2x. #J-18808-Ljbffr
Job Title
Senior AI / ML Engineer