What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Tech Stack Youll Work With: Backend & Infrastructure Languages/Frameworks: Python (Flask, FastAPI), Node.js Databases: PostgreSQL, Redis, ClickHouse Infra: Kafka, Docker, Kubernetes, GitHub Actions, Cloudflare Cloud: AWS (EC2, S3, RDS), GCP Frontend React / Next.js, TailwindCSS, Zustand, Shadcn/UI WebGL, Three.js for 3D rendering AI/ML & Computer Vision LangChain, LangGraph, HuggingFace, OpenAI, Groq Whisper (ASR), Eleven Labs (TTS) Diffusion Models, StyleGAN, Stable Diffusion GANs, MediaPipe, ARKit/ARCore Computer Vision: Face tracking, real-time try-on, pose estimation Virtual Try-On: Face/body detection, cloth/hairstyle try-ons APIs Stripe, VAPI, Algolia, OpenAI, Amplitude Vector DB & Search Pinecone, Milvus (Zilliz), custom vector search pipelines Other Vibe Coding culture, prompt engineering, system-level optimization Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

mirrAR is seeking a forward-thinking individual who will design, build, and execute high impact sales strategies with new and existing business clients. The ideal candidate must be capable of strategizing and executing in a short period of time to achieve business metrics while operating in competitive technology markets. This role will work with a cross-functional global team in developing strategies and business cases, open up the leads and generate revenue from the lead. Ultimately, the goal of this role is to increase revenue from existing and new clients on our platforms. Duties and Responsibilities: Has done US enterprise SaaS sales preferably in e-commerce retail space Identify and address advantageous business opportunities for mirrAR by combining strategic insights and data on the brand/retailer with an understanding of our AR/AI SaaS applications for virtual try-on across industries Lead and generate new software license opportunities for mirrAR, which includes pursuing new opportunities, creating/evaluating proposals and driving negotiations with potential partners in accordance with internal business goals Engage existing and prospective partners, explore and define partnership opportunities Use knowledge of the space to actively pursue new partners and create new relationships that can turn into business opportunities Structure, negotiate and execute new partnerships and license deals Coordinate with both internal teams and external partners to ensure adoption of our solutions in the retail technology segment as well as continued success of business relationships Provide leadership directive, have ownership over and be the driving force behind new partnership opportunities for mirrAR Become an expert in our solutions for indie and enterprise clients alike Okay to work from 6pm-3am IST in a remote setting and okay to come to office twice a month Qualifications: BA (some technical background is highly desirable, an interest and passion for innovation and augmented reality and artificial intelligence is necessary) 2+ years of experience in selling SaaS, enterprise software, web service or mobile app solutions Proven results in closing software license deal, including negotiating agreements, on-boarding and ongoing partner management Demonstrated both account leadership and project managements skills Solid understanding of product innovation cycles, and fast-path global dynamics Passionate about state-of-art technologies such as AR and digital transformation Ability to manage by influence and work effectively with cross-functional teams in a global, matrix organization Ability to learn and understand the intricacies of our products and technology and continue to learn as we grow the future of AR Tech.