Senior AI​/ML Engineer

Position: Senior AI / ML Engineer
Join to apply for the  Senior AI / ML Engineer  role  .
, 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 helping them 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     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 ong understanding of supervised learning, ranking systems, and personalization strategies.
Hands‑on experience with tools like PyTorch, Tensor Flow, 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 (Type Script)
Backend:
NestJS (Type Script)

Infrastructure: AWS, managed with Terraform
Databases:
Postgre

SQL, Click House
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 klog 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 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 - we’d love to hear from you.
Seniority level     Mid‑Senior level

Employment type

Full‑time
Job function     Engineering and Information Technology
Industries     Technology, Information and Internet
Referrals increase your chances of interviewing  by 2x.

#J-18808-Ljbffr