DevOps Engineer | SDE - 1 | SDE - 2
Role: Applied AI Engineer (Vision/GenAI)
Function: Applied AI Engineering
Location: Gurgaon
Type: Full-time
Compensation: 25-35 LPA
Industry: Dating/Matchmaking Technology
About Company
A venture-backed, stealth-stage technology company building next-generation matchmaking platforms. The company has raised $10+ million in seed funding from marquee VCs in India and US.
The team uses AI, community, and content to reimagine how people connect beyond typical swipe culture. With 23 team members, the company focuses on creating personalized experiences that help users feel truly understood.
Position Overview
You'll deploy advanced vision-language models to power a personalized, photorealistic user experience that sits at the core of the product. Your work will directly impact how millions of users represent their authentic selves through real-time ML recommendation engines. You'll join a founding team where your contributions shape the future of human connection in the AI era.
Role & Responsibilities
- Build and deploy cutting-edge vision-language pipelines using Stable Diffusion, LoRA, CLIP, and BLIP for personalized user profile visuals
- Fine-tune LoRA models to reflect users' best version while maintaining identity integrity
- Design scalable APIs for image generation, editing, and personalization
- Work with UX/design teams 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
Must Have Criteria
- 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
- 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 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 opportunity
- Competitive cash compensation
- Dynamic and fast-paced startup environment with autonomy
- Collaboration across teams with responsive and growth-oriented founders
FAQs
Are there any additional costs for payroll processing in multiple countries?
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