About Us
We are a venture-backed, stealth-stage technology company building next-generation matchmaking and relationship platforms. Our mission is to reimagine how people connect, using AI, community, and content as our building blocks.
Were not building another dating app were creating an experience where users feel :
This app gets me.
At the core of our product is a real-time, ML recommendation engine and application of vision language models which helps people represent the best authentic version of themselves.
We are well funded and backed by marquee VCs in India and US
Location : Gurgaon
Function : Applied AI Engineer (Vision / GenAI)
Type : Full-time
The Role
As an Applied AI Engineer, you'll lead the deployment of advanced vision-language models to power a personalized, photorealistic user experience. Your work will focus on fine-tuning and integrating models like Stable Diffusion, LoRA, and CLIP into real-time pipelines, optimizing them for user delight, performance, accuracy, and eventually costs.. You will collaborate closely with product and design teams to bring generative AI capabilities to deliver a novel dating experience.
What You'll Do
- Build and deploy cutting-edge vision-language pipelines (e.g., Stable Diffusion, LoRA, CLIP, BLIP) for personalized and authentic user profile visuals
- Fine-tune LoRA models to reflect a user's best version while maintaining identity integrity
- Design scalable APIs for image generation, editing, and personalization
- Work with UX / design to integrate image-generation flows that feel intuitive and delightful
- Optimize models for mobile performance, fast inference, and cost efficiency
- Collaborate closely with product, backend, and ML researchers to productionize ideas
Ideal Profile :
We are looking for a hands-on applied AI / ML engineer with expertise in generative vision models like Stable Diffusion, and some track record of building real-time, personalized generative AI experiences.
Experience with computer vision, generative models, or deep learningExperience working with Stable Diffusion, LoRA training, and prompt engineering Exposure to different vision-language architectures like Flux, CLIP, BLIP etcProficient in PyTorch or equivalent ML frameworksStrong understanding of image pipelines, dataset curation, and captioningExperience deploying ML models on cloud-based services ( at minimum Replicate, Hugging Face Spaces and preferably on GPUs)Comfortable writing production-ready Python, working with versioned models and real-time inference stacksPassionate about building beautiful, human-centered AI experiencesNice to Haves :
Prior experience with personalization, avatars, or face-preserving generative modelsContributed to open-source vision models or fine-tuning librariesExperience in a startup or fast-paced product-focused teamWhy Join Us Now :
Join a founding team where your work is core to product experienceShape the future of how humans connect in the AI eraSignificant ESOPs and wealth creation + competitive cash compensationref : hirist.tech)