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