Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4342704222&distance=25.0&f_AL=true&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=100 Job Description: Backend Engineering Internship - Nest.js, Postgres, AI/ML United States · 5 minutes ago · 0 applicants Company review time is typically 1 week Remote Matches your job preferences, workplace type is Remote. Internship Easy Apply Save Save Backend Engineering Internship - Nest.js, Postgres, AI/ML at Marketeq Media Inc. Backend Engineering Internship - Nest.js, Postgres, AI/ML Marketeq Media Inc. · United States (Remote) Easy Apply Save Save Backend Engineering Internship - Nest.js, Postgres, AI/ML at Marketeq Media Inc. Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Practice mock interviews personalized to every role and get custom feedback Try Premium for PKR0 Meet the hiring team Christopher Torres 3rd 🚀 Scaling Startups & Enterprises, IT Strategy & Product Innovation, Founder & CEO @ Marketeq Digital, Turning Raw Tech into Market Leaders 🔥 Job poster Message About the job Backend Engineering Internship - Nest.js/Typescript (AI/ML Required) Remote | Unpaid Internship | 15–20 hrs/week | 90 Days We’re building a modular backend system designed for scalability, performance, and intelligent automation. Our team is focused on designing data-driven infrastructure that supports real-time user interactions, search, and ML-powered recommendations. We’re looking for backend-focused interns with degrees in Artificial Intelligence or Machine Learning to join us in shaping the MVP and contributing to intelligent system prototypes. Why This Internship Is Unique Unlike typical backend internships focused solely on bug fixes or minor tickets, this role provides exposure to: A production-grade microservices architecture built with NestJS (TypeScript) Integrations with modern platforms and developer tools (e.g., CMS, payments, identity providers) API Gateway patterns and communication between services via REST, GraphQL, and message brokers PostgreSQL optimization, indexing, and integration with search engines Early-stage prototyping of intelligent backend features using AI/ML What You’ll Actually Work On Building and refining backend microservices in NestJS (TypeScript) Developing secure authentication flows and permission layers Implementing APIs and integrations for structured data management Managing PostgreSQL queries, indexes, and data pipelines for performance Writing modular, scalable backend code that supports future AI integration AI/ML Prototyping Responsibilities You’ll also support the development of intelligent backend systems such as: Recommendation Models: Creating logic for suggesting entities (e.g., projects, tags, roles) based on profile or usage behavior Semantic Search: Enhancing query matching with vector similarity or keyword embeddings Trend Detection: Exploring models to detect spikes or shifts in usage behavior or category engagement Smart Scoring: Defining scoring logic for profiles, items, or events using ML models or rule-based systems LLM Integration: Collaborating with product to test prompt-based features using tools like OpenAI or HuggingFace These ML-focused responsibilities are exploratory but ongoing and will run in parallel to core backend development. What You Might Touch (If Time Allows) As we scale, you may gain exposure to: Caching systems (e.g., Redis) Tracing tools (e.g., Jaeger, OpenTelemetry) GraphQL implementations with Apollo Server Event-driven architecture with RabbitMQ or Kafka Service-to-service security and observability layers Minimum Qualifications Pursuing or recently completed a degree in Artificial Intelligence or Machine Learning Experience in backend development with: TypeScript/Node.js (preferably NestJS) Relational databases like PostgreSQL REST APIs or GraphQL Familiar with GitHub workflows and testing standards Interest in combining backend development with applied machine learning Nice-to-Have Experience using Python, scikit-learn, or HuggingFace Exposure to vector databases, transformers, or recommendation frameworks Interest in scalable backend infrastructure and system design What You’ll Get Practical startup experience contributing to real product architecture Opportunity to build real-world AI/ML integrations from scratch Exposure to scalable backend infrastructure and early-stage experimentation Mentorship from technical leads and async collaboration practices Reference letters and portfolio-worthy contribution How to Apply Include your LinkedIn, GitHub, or portfolio Tell us why you're interested in backend engineering and how you'd like to apply AI/ML in a product setting Confirm that you are pursuing or have completed an AI or Machine Learning degree (Computer Science degrees will not be considered)