Applied AI Engineer (Vision/GenAI)
Location: Gurgaon
Term: Full-time
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.
We're not building another dating app — we're 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.
The Role
As an Applied AI Engineer, you'll deploy advanced vision-language models to power a personalised, photorealistic user experience. Your work will focus on fine-tuning and integrating models like Stable Diffusion, LoRA, and CLIP into real-time pipelines, optimising 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 personalised 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 personalisation
- •Work with UX/design to integrate image-generation flows that feel intuitive and delightful
- •Optimise 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, personalised generative AI experiences.
- •Experience with computer vision, generative models, or deep learning
- •Experience working with Stable Diffusion, LoRA training, and prompt engineering
- •Exposure to different vision-language architectures like Flux, CLIP, BLIP etc
- •Proficient in PyTorch or equivalent ML frameworks
- •Strong understanding of image pipelines, dataset curation, and captioning
- •Experience 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 stacks
- •Passionate about building beautiful, human-centred AI experiences
Nice to Have
- •Prior experience with personalisation, avatars, or face-preserving generative models
- •Contributed to open-source vision models or fine-tuning libraries
- •Experience in a startup or fast-paced product-focused team
Why Join Us Now
- •Join a founding team where your work is core to product experience
- •Shape the future of how humans connect in the AI era
- •Significant ESOPs and wealth creation + competitive cash compensation