AI Product Engineer (Founding Member / High-Speed Builder)

Foxelli Group·Remote(Albania, Bulgaria, Croatia, Cyprus, Czechia, Estonia, Georgia, Greece, Latvia, Lithuania, Malta, Moldova, Montenegro, North Macedonia, Poland, Portugal, Serbia, Slovakia, Slovenia, South Africa, Turkey, United Kingdom)
Software Development

WFA Digital Insight

The demand for AI-native builders has skyrocketed in recent years, with companies seeking experts who can harness the power of AI to drive innovation. Foxelli Group stands out in this space, developing proprietary AI infrastructure to automate complex workflows. Candidates with a strong foundation in AI-assisted development tools and a penchant for bold thinking will find this role intriguing. Before applying, it's essential to understand the company's focus on meaningful work and its commitment to creating products that customers love.

Job Description

About the Role

Foxelli Group is seeking an AI Product Engineer to design, build, and iterate on various AI systems. The company develops internal AI-driven systems to automate complex creative and analytical workflows, later scaling them into B2B SaaS products.

Responsibilities

  • Work directly with the founder to design, build, and iterate on AI systems
  • Projects will vary from computer vision and image manipulation to automated video generation and agentic data analysis
  • Responsible for the full pipeline: from R&D of the best AI models to deploying scalable web applications

Requirements

  • Modern Developer: power user of tools like GPT Codex, Claude code, and Replit
  • AI Generalist: comfortable working across different AI domains (LLMs, Diffusion, and Vision models)
  • Agile & Adaptive: thrive in an environment where projects evolve

Nice to Have

  • Experience with Next.js / Python (FastAPI), AI Frameworks (ComfyUI / Diffusers, IP-Adapters, ControlNet), and Agentic frameworks (LangChain/CrewAI)

How to Stand Out

  • Be prepared to showcase your proficiency in AI-assisted development tools and your ability to build functional prototypes quickly
  • Highlight your experience working with various AI domains and frameworks
  • Demonstrate your understanding of how to orchestrate multiple AI models into a single workflow
  • Prepare to discuss your approach to building lean MVPs and testing them in real-world operations
  • Showcase your portfolio of AI-driven projects and be ready to explain your design and development decisions

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