Applied AI Engineer (Gen-AI, Vision)

Role

Function

Compensation

About the Company:

A venture-backed, stealth-stage technology company building next-gen matchmaking and relationship platforms is hiring their founding AI/ML & Data Engineering Team.

They are on a mission to reimagine how people connect, using AI, community, and content as the building blocks. They’re not building just another dating app — they’re creating an experience where users feel: “This app gets me.”

At the core of the product are real-time, ML recommendation engines — similar to Spotify for song moods or TikTok for discovery.

They are well funded and backed by marquee VCs in India and US.

Company Philosophy:

Core belief:

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

That’s why they’re investing in data infrastructure from the 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 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 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:

They 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 the role offers:

• 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