Job
Description
Selected Intern's Day-to-day Responsibilities Include Develop & maintain backend services powering AI agents, product orchestration, and growth workflows. Design & implement RESTful/GraphQL APIs for Go, Python, or Node.js-based systems. Integrate AI/ML models from frameworks like Hugging Face or TensorFlow into production-level services. Collaborate with frontend engineers, ML teams, and PMs to convert product requirements into real systems. Ensure reliability, performance & security in distributed environments. Build infrastructure for observability, logging, metrics, and operational tooling. Continuously learn & iterate – from proof-of-concepts to scalable production features. About Company: Our AI Agents automate end-to-end campaign planning, execution, and experimentation for B2C marketing teams and optimize growth spends. Marketing gets limited bandwidth for experimenting with growth ideas. They're limited to using 5-6 segments, their budgets are misallocated, causing poor retention and expensive re-acquisition, and they receive little support from data science, data engineering, design, and development teams for growth experiments. We offer AI agents for every stage of the growth funnel, from acquisition to retention, that automate core growth problems such as discounts, winback, rewards, referrals, engagement, and personalized recommendations. Our AI agents intelligently orchestrate each other to collectively automate growth. Show more Show less
