Social Discovery Group (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. We solve the problems of loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. Our portfolio includes online communication platforms focusing on AI, game mechanics, and video streaming - Dating.com, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others.
SDG invests in IT startups around the world. Our investments include Open AI, Patreon, Flo, Clubhouse, Woebot, Flure, Astry, Coursera, Academia.edu, and many others.
We bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products. Our international team of 1200 professionals and digital nomads works all over the world.
Our teams of digital nomads work remotely from Cyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations.
In August 2024, we achieved Great Place to Work US Certification™! This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks.
We are looking for a Applied AI Engineer who wants to build real AI systems used by hundreds of thousands of users.
This is not a research-only role. You will work on shipping AI capabilities to production, building systems around LLMs, generative models, and multimodal AI, and turning cutting-edge AI technology into real product functionality.
We’re looking for someone who enjoys solving hard engineering problems, experimenting with modern AI systems, and quickly turning ideas into working features.
If you like working close to the product, moving fast, and seeing your AI systems used by real users at scale, this role is for you.
Your main tasks will be:
Build and ship AI-powered product features using LLMs and generative models
Develop and maintain services and APIs around ML models
Work with prompt engineering and model behavior tuning
Integrate AI models into production systems and user-facing applications
Work with multimodal systems (text and image generation)
Improve AI quality, safety, and reliability in production
Collaborate closely with engineering, product, and design teams
Run experiments and iterate quickly based on real user feedback and metrics
Optimize performance, latency, and scalability of AI systems
We expect from you:
What do we offer:
Sounds good? Join us now!