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Applied AI Engineer
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Job Description
Job Description
Location: Gurgaon
Function: Applied AI Engineer (Vision/GenAI)
Type: Full-time
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
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.
['AI', 'vision-language pipelines', 'LoRA models']
Additional Information
B.tech / M.Tech
Location: Gurgaon
Function: Applied AI Engineer (Vision/GenAI)
Type: Full-time
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
- 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
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
- 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
- Comfortable writing production-ready Python, working with versioned models and real-time inference
- Passionate about building beautiful, human-centred AI experiences
- 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
['AI', 'vision-language pipelines', 'LoRA models']
Additional Information
B.tech / M.Tech
Required Skills
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