AI Engineer

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November 23

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Xflow

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Fintech • API • SaaS

Xflow is a company that provides powerful API solutions for simplifying international payments, with a focus on facilitating collections and fund transfers to and from India. Their products include virtual foreign currency accounts, payment links for international invoices, invoicing with built-in payments, and solutions tailored for platforms to manage international payments. Xflow's offerings are particularly beneficial for IT service exporters, funded startups, small and medium businesses, freelancers, and platforms seeking to conduct international transactions without barriers. Xflow supports various payment methods like NEFT, RTGS, IMPS, and UPI, allowing for fast, secure, and cost-effective transactions. The company also ensures compliance with India's regulatory landscape, helping businesses focus on growth while avoiding operational complexities. Xflow's APIs are designed for seamless cross-border business payments, offering flexibility, white-label integration, and support for multiple currencies.

11 - 50 employees

💳 Fintech

🔌 API

☁️ SaaS

📋 Description

• Deploy and configure modern text-to-image models (Stable Diffusion 1.5 / XL / 3.x, FLUX, etc.) on cloud GPUs or internal servers • Integrate and maintain additional modules: LoRA, ControlNet, DreamBooth / fine-tuning tools • Set up a reliable generation pipeline: queues, batching, logging, monitoring • Train and fine-tune models / LoRA adapters for company-specific visual styles and use cases • Collaborate with the art team to prepare and clean datasets • Maintain a library of models and styles (versions, descriptions, usage examples) • Configure a convenient workflow for internal teams using existing UIs (Automatic1111, ComfyUI) or develop a lightweight custom web interface • Create presets and straightforward generation flows, ensuring non-technical team members can achieve consistent results • Monitor service stability and generation quality • Optimize performance (model configurations, generation parameters, caching) • Test new models and features, introducing them when they provide real business value

🎯 Requirements

• Experience with Python • Experience with PyTorch • Hands-on experience with modern diffusion models: Stable Diffusion (1.5 / XL / 3.x), FLUX or similar derivatives • Experience with at least part of the ecosystem: LoRA (training/inference), ControlNet, DreamBooth or other fine-tuning approaches • Experience with one or more model-management tools: ComfyUI, Automatic1111 WebUI, or custom Gradio/Streamlit interfaces • Basic image processing skills (PIL, OpenCV, or similar libraries) • English, Russian - C1 • Nice to Have: Experience deploying on cloud GPU services (RunPod, Vast.ai, AWS/GCP, etc.) • Ability to build simple APIs (FastAPI / Flask) to access models • Basic understanding of Docker / containerization • Knowledge of MLOps fundamentals: weight storage, model versioning, backups, logging • Experience collaborating with creative teams and interest in visual content

🏖️ Benefits

• Competitive salary and benefits package • Opportunity to work with a talented and passionate team in a creative and dynamic environment • Flexible working hours and remote/office work options • Career growth and professional development opportunities • A fun and inclusive company culture that celebrates diversity and creativity