Full Stack AI Engineer
Job Title: Full Stack AI Engineer Department: Engineering / AI Products Location: On-Site / Remote (Specify) About ImagineArt We're redefining how the world creates and designs. ImagineArt is one of the fastest-growing GenAI companies in the world. We've scaled faster than most funded startups — with zero outside funding. $35M+ ARR crossed this year 100M+ social impressions Built and shipped our own image generation model, now ranked #3 globally for photo realism No funding. No shortcuts. Just a sharp, driven team building one of the strongest GenAI products in the world — and we're just getting started. If you want to build something that truly matters, work with exceptionally smart people, and grow at a pace most companies never experience, ImagineArt is the place. Job Summary We are looking for a Full Stack AI Engineer to design, build, and deploy AI-powered applications end-to-end. You will work across frontend, backend, and AI layers, integrating large language models and intelligent systems into scalable, user-facing products.
Key Responsibilities
Build full-stack applications powered by AI/LLMs Design and develop scalable backend services and APIs Integrate LLMs (OpenAI, open-source models, etc.) into production systems Develop responsive and intuitive frontend interfaces (React/Next.js or similar) Implement prompt engineering, context management, and AI workflows Work with vector databases and RAG-based architectures Optimize AI systems for performance, cost, and latency Collaborate with product and design teams to ship AI features Ensure reliability, monitoring, and debugging of AI-driven systems
Requirements
Strong experience as a Full Stack Engineer or AI Engineer Proficiency in frontend (React, Next.js, or similar) Strong backend skills (Node.js, Python, or similar) Experience integrating LLM APIs (OpenAI, Anthropic, open-source models) Understanding of REST APIs, microservices, and system design Familiarity with embeddings and vector databases (Pinecone, FAISS, Weaviate, etc.) Experience with prompt engineering and AI feature development Knowledge of cloud platforms (AWS, GCP, Azure) Strong debugging, problem-solving, and ownership mindset
Nice to Have
Experience building AI agents or multi-step reasoning systems Familiarity with LangChain, LlamaIndex, or similar frameworks Experience with real-time AI applications Understanding of model fine-tuning or training workflows Exposure to high-scale production AI systems Qualifications 2–5+ years of software engineering experience Experience building and shipping full-stack applications Exposure to AI/ML concepts is a strong plus
Benefits
Competitive compensation and performance bonuses Work on cutting-edge AI products at scale Medical coverage (IPD/OPD) Flexible and fast-paced work environment Strong learning and career growth in AI domain Ownership-driven engineering culture Company Culture AI First: Everything we build is centered around AI Ownership: Engineers take full responsibility of features Speed: Fast iteration and shipping mindset Innovation: Constant experimentation with new models and tools Impact: Build products used by real users globally Apply To This Job