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Applied AI Engineer - Generative AI

Applied AI Engineer - Generative AI

Proslisi.comGurgaon
2 days ago
Job description

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 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-centered AI experiences
  • Nice to Haves :

  • 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
  • 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
  • ref : hirist.tech)

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