Department: Engineering / AI Products
Location: On-Site / Remote (Specify)
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.
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.
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
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
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
2–5+ years of software engineering experience
Experience building and shipping full-stack applications
Exposure to AI/ML concepts is a strong plus
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
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
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