AI Engineer

AI Backend · AI Product · Image Generation

About DecorX

At DecorX, we’re redefining the future of interior design through cutting-edge AI. We build AI-powered tools that help retailers and interior designers automate photography enhancement, generate lifestyle imagery—turning what used to take weeks of manual work into minutes.

Our founding team hails from high-end luxury furniture leaders, giving us deep industry knowledge, unparalleled access to partners and resources, and a distinctive edge in the market. We leverage AI to create unique, personalized, and beautiful spaces that reflect our clients’ individual tastes and lifestyles. Join us in shaping the next wave of design innovation.

About the Role

We’re looking for a versatile engineer to own and evolve our AI backend technical stack. You’ll be the primary engineer responsible for designing AI-powered image generation pipelines, building production APIs, and managing cloud infrastructure.

This is a high-autonomy role where you’ll make architectural decisions, ship features end-to-end, and work directly with the CEO and clients.

What You’ll DoAI Pipeline Design & Orchestration (Core Focus)

Design and build end-to-end AI image generation pipelines—from product image input through multi-model orchestration to final deliverable output
Build automated QA/QC systems using vision models to score and gate outputs, with retry and prompt refinement loops
Develop prompt engineering pipelines and evaluation frameworks to measure and continuously improve AI output quality
Handle production-scale batch processing with concurrency control, physical-dimension-aware compositing, and progress tracking
Evaluate and integrate new AI models and providers as the landscape evolves

Backend & API Development

Build and maintain production REST APIs serving external clients (Python / FastAPI)
Orchestrate calls across multiple AI providers with error handling, retries, and fallbacks
Design async job processing architecture for long-running AI generation tasks

Infrastructure & Operations

Manage cloud infrastructure on GCP/AWS including deployment, monitoring, and scaling
Own the full software lifecycle: architecture, implementation, testing, deployment, CI/CD

Frontend & Internal Tools

Build lightweight frontend prototypes, interactive demos, and internal debugging tools (React / TypeScript) as needed

What We’re Looking For

2+ years of experience building and shipping production software
Strong proficiency in Python—you’ll write Python daily
Experience building REST APIs (FastAPI, Flask, or Django)
Hands-on experience designing multi-step AI/ML pipelines—not just calling a single API, but orchestrating workflows with quality gates, retries, and prompt iteration
Experience integrating generative AI APIs (OpenAI, Anthropic, Gemini, or similar)
Familiarity with cloud platforms (GCP preferred; AWS or Azure also relevant)
Experience with async/concurrent programming (asyncio, worker pools, batch job management)
Ability to work independently and make sound technical decisions with minimal oversight

Nice to Have

Experience with systematic prompt evaluation (building evals, scoring rubrics, A/B testing)
Image processing knowledge—aspect ratios, compositing, resizing, format handling
Frontend development skills (React, TypeScript)
Familiarity with CI/CD, Docker, infrastructure-as-code
Background in e-commerce, furniture/home goods, or product data management
Experience scaling from single-instance to more robust infrastructure (containerization, horizontal scaling)

Why This Role

You’ll join at a moment where the core product works and clients are paying, but there’s enormous room to improve quality, scale, and reliability. As the founding engineer, you’ll shape the technical direction of the product and have a direct line to business impact.

The interesting challenge: designing reliable, quality-gated AI pipelines where the output must meet real commercial standards—not just demos, but production imagery that retailers actually use. Small team, fast iteration, high ownership.

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