Applied AI Engineer - Generative AI

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.

Nice to Haves :

Why Join Us Now :

ref : hirist.tech)