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