Applied AI Engineer (Vision/GenAI)

Role: Applied AI Engineer (Vision/GenAI)

Function: Applied AI Engineer

Location: Gurgaon

Type: Full-time

Compensation: 50-80+ LPA + ESOPs

About the Company:

An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content.

Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to our platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms.

With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance our mission with innovation and impact.

Company Philosophy:

They believe:

• Great data + Good models = Great recommendations
• Good data + Great models = Average recommendations

That’s why they’re investing in data infrastructure from our inception and foundation.

Position Overview:

As an Applied AI Engineer, you'll lead the deployment of 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.

Role & Responsibilities:

• 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, 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 personalization, 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

What we offer: 

• 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