About

We are seeking a versatile and passionate Full Stack AI Engineer to own the development lifecycle of our AI-powered features. You will be the critical link between our research-oriented ML models and the production-grade application that our users love. You won't just implement APIs; you will architect the entire pipeline from the database to the UI, ensuring our AI is scalable, robust, and delivers a seamless user experience. Key Responsibilities: * Design, build, and deploy end-to-end AI applications, integrating frontend, backend, and machine learning models. * Develop and maintain robust backend services (using Python/Node.js) and APIs (FastAPI, Flask) to serve machine learning models (LLMs, Transformers, etc.). * Implement and optimize Retrieval-Augmented Generation (RAG) systems using vector databases (Pinecone, Weaviate, pgvector). * Build responsive and intuitive frontend interfaces (React, Vue, Next.js) that effectively showcase complex AI functionalities. * Containerize and orchestrate AI services using Docker and Kubernetes for scalable deployment on cloud platforms (AWS, GCP, Azure). * Collaborate with ML engineers to productionize and optimize prototypes, focusing on latency, throughput, and cost. * Implement CI/CD pipelines specifically tailored for ML systems (using tools like MLflow, Weights & Biases). What You Bring (Qualifications): Required: * Proven experience as a Full Stack Developer with a strong portfolio of deployed applications. * 3+ years of hands-on experience in Python and experience with ML frameworks like PyTorch, TensorFlow, or Hugging Face. * Solid experience building and consuming RESTful and GraphQL APIs. * Experience with RAG architectures, vector databases, and working with LLM APIs (OpenAI, Anthropic, Cohere) or open-source models (Llama, Mistral). * Proficiency in modern frontend frameworks (React, Vue, Svelte) and backend frameworks (Django, FastAPI, Node.js). * Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform, CDK). * A product-minded mentality: you care about the user experience, not just the technology. Bonus Points (Nice-to-Have): * Experience with agent frameworks (LangChain, LlamaIndex). * Knowledge of MLOps principles and tools. * Experience fine-tuning large language models. * Understanding of XR/WebGL technologies for immersive interfaces. What We Offer: * A competitive salary and significant equity package in a high-growth company. * The opportunity to work on groundbreaking technology with a world-class team. * A flexible, remote-friendly work environment with a focus on deep work. * Budget for learning, development, and cutting-edge hardware. How to Apply: Sound like you? Please send your resume and a link to your GitHub/portfolio that demonstrates: * A full-stack project you built. * An example where you successfully integrated an AI/ML model into a functional application.