Location: Mumbai, India (travel to jewellery manufacturing sites across the country) Reports to: CEO Status: Full-time About Bez Bez builds domain-specific AI for jewellery businesses. Our agents first understand a brand's unique style and then make original designs, manufacturing models, and marketing visuals in minutes, shortening the product lifecycle by over 5x. Why This Role Matters Our software only shines when it’s woven into each customer’s unique workflow and their team understands how to use it. You’ll be the person on the ground—literally walking the shop floor—making sure that happens. Your core objective is to ensure customer's can extract the maximum possible value from the product, recognise failure modes to be fixed, and identify workflows to be automated. What You'll Do Own end-to-end onboarding – from kickoff to full production use, usually 2-3 weeks. Train and Champion Front-line Users - show our client's employees how to translate their requirements into specific prompts and actions so they get the outputs they need. Spot expansion opportunities – notice where additional workflows, plants, or SKU lines could benefit from our agents and flag them to engineering. Document what scales – capture best-practice SOPs, UX feedback, and prompt libraries so the next implementation is twice as fast. You'll Thrive Here If You... Have 0-2 years experience in customer success, implementation consulting, or technical project management—ideally inside manufacturing or enterprise SaaS. Speak fluent English and Hindi (bonus for Gujrati, Bengali, and/or Marathi) and are comfortable spending all day collecting user feedback. Can craft prompts and workflow ideas to push AI models to their maximum capabilities Are naturally inclined towards teaching non-tech savvy users how to use AI products Have a basic eye for product to translate the on-ground feedback you get into features and fixes Nice to Haves Experience in jewellery and/or enterprise software implementations and customer success Familiarity with working on digital transformation projects where training technologically unsay staff is a key enabler Compensation + Perks Competitive salary (60k-1L a month, depending on experience) + performance based bonus Freedom to iterate, ship, and see your work affect line-workers’ day-to-day within weeks. Opportunity to learn about frontier AI research and engineering from industry leaders
About Bez Bez builds domain-specific AI for jewellery businesses. Our agents first understand a brand's unique style and then make original designs, manufacturing models, and marketing visuals in minutes, shortening the product lifecycle by over 5x. Why This Role Matters Our software only shines when it’s woven into each customer’s unique workflow and their team understands how to use it. You’ll be the person on the ground—literally walking the shop floor—making sure that happens. Your core objective is to ensure customer's can extract the maximum possible value from the product, recognise failure modes to be fixed, and identify workflows to be automated. Then, work with our core engineering team to convert these insights into features and product improvements. What You'll Do Own end-to-end onboarding – from kickoff to full production use, usually 2-3 weeks. Train and Champion Front-line Users - show our client's employees how to translate their requirements into specific prompts and actions so they get the outputs they need. Spot expansion opportunities – notice where additional workflows, plants, or SKU lines could benefit from our agents and flag them to engineering. Document what scales – capture best-practice SOPs, UX feedback, and prompt libraries so the next implementation is twice as fast. Build custom middleware and integrations to make it easier for companies to migrate their product development operations to our product You'll Thrive Here If You... Have 0-2 years experience in software engineering, implementation consulting, or technical project management—ideally inside manufacturing or enterprise SaaS. Speak fluent English and Hindi (bonus for Gujrati, Bengali, and/or Marathi) and are comfortable spending all day collecting user feedback. Can craft prompts and workflow ideas to push AI models to their maximum capabilities Are naturally inclined towards teaching non-tech savvy users how to use AI products Have a basic eye for product to translate the on-ground feedback you get into features and fixes Nice to Haves Experience in jewellery and/or enterprise software implementations and customer success Familiarity with working on digital transformation projects where training technologically unsay staff is a key enabler Compensation + Perks Competitive salary (60k-1L a month, depending on experience) + performance based bonus Freedom to iterate, ship, and see your work affect line-workers’ day-to-day within weeks. Opportunity to learn about frontier AI research and engineering from industry leaders
Location: Mumbai, India (travel to jewellery manufacturing sites across the country) Reports to: CEO Status: Full-time About Bez Bez builds domain-specific AI for jewellery businesses. Our agents first understand a brand&aposs unique style and then make original designs, manufacturing models, and marketing visuals in minutes, shortening the product lifecycle by over 5x. Why This Role Matters Our software only shines when its woven into each customers unique workflow and their team understands how to use it. Youll be the person on the groundliterally walking the shop floormaking sure that happens.Your core objective is to ensure customer&aposs can extract the maximum possible value from the product, recognise failure modes to be fixed, and identify workflows to be automated. What You&aposll Do Own end-to-end onboarding from kickoff to full production use,usually 2-3 weeks. Train and Champion Front-line Users - show our client&aposs employees how to translate their requirements into specific prompts and actions so they get the outputs they need. Spot expansion opportunities notice where additional workflows, plants, or SKU lines could benefit from our agents and flag them to engineering. Document what scales capture best-practice SOPs, UX feedback, and prompt libraries so the next implementation is twice as fast. You&aposll Thrive Here If You... Have 0-2 years experience in customer success, implementation consulting, or technical project managementideally inside manufacturing or enterprise SaaS. Speak fluent English and Hindi (bonus for Gujrati, Bengali, and/or Marathi) and are comfortable spending all day collecting user feedback. Can craft prompts and workflow ideas to push AI models to their maximum capabilities Are naturally inclined towards teaching non-tech savvy users how to use AI products Have a basic eye for product to translate the on-ground feedback you get into features and fixes Nice to Haves Experience in jewellery and/or enterprise software implementations and customer success Familiarity with working on digital transformation projects where training technologically unsay staff is a key enabler Compensation + Perks Competitive salary (60k-1L a month, depending on experience)+ performance based bonus Freedom to iterate, ship, and see your work affect line-workers day-to-day within weeks. Opportunity to learn about frontier AI research and engineering from industry leaders Show more Show less
About Bez Bez builds domain-specific AI for jewellery businesses. Our agents learn a brand’s unique style, then generate original designs, manufacturing models, and marketing visuals in minutes—shrinking the product lifecycle by 5×. We work with some of the world's largest jewellery manufacturers and are backed by LeapYear & Macroscopic Ventures. Why This Role Matters This is a design-first, forward-deployed role. You’ll use your jewellery design skills to: (a) help fine-tune and improve the product, (b) train users to get consistent, on-brand outputs (c) deliver high-quality customer support on the shop floor and online Your goal is to embed Bez into real workflows, surface failure modes/automation opportunities, and convert insights into product improvements with our world-class engineering team. What You’ll Do Own end-to-end onboarding from kickoff to full production use (typically 2–3 weeks). Fine-tune the product (design-led): stress-test features with real briefs, log reproducible issues, craft prompt→output datasets, annotate assets, and define acceptance criteria/evals. Train and champion users: teach prompt craft and AI-assisted jewellery design; deliver workshops; produce SOPs, prompt libraries, and quick-start guides. Customer support: act as first line for key accounts; triage requests; unblock users; translate feedback into clear, prioritized product tickets. Design delivery: produce concept variations, tech packs, and production-ready assets using AI + CAD, aligned to brand DNA and manufacturing constraints. You’ll Thrive Here If You… Have 1–2 years in jewellery design at a brand/studio/manufacturer or a portfolio showing equivalent capability. Are fluent in prompt engineering (structure, parameters/negatives, iterative refinement, lightweight evals). Work comfortably with Rhino/MatrixGold or Blender/ZBrush , Adobe CC , and modern GenAI tools Understand manufacturing basics (settings, tolerances, materials; 3D print/CAM readiness). Communicate clearly with clients; enjoy teaching non-tech-savvy users; write crisp SOPs and playbooks. Speak fluent English and Hindi (bonus: Gujarati, Bengali, Marathi). Nice to Haves Client-facing depth: led trainings/onboardings or owned key customer relationships. Portfolio breadth: modern/minimal, classic/heritage, bridal/high-jewellery, fashion/costume, and regional Indian styles. Industry relations: warm ties with manufacturers, casting houses, service bureaux, stone suppliers, design schools, and trade bodies. Compensation + Perks ₹60,000–₹75,000 per month (retainer) + performance-based bonus. Freelance/contract; India-based; remote with occasional on-site at client locations. Freedom to ship fast and see your work change shop-floor routines within weeks. Exposure to frontier AI research and engineering alongside industry practitioners.
Bez empowers jewellers to use AI to their advantage. Our platform ingests sales data to generate original designs, manufacturing models (CAD/CAM compatible), and marketing videos in minutes. We work with leading diamond manufacturers and are scaling rapidly. Bez AI is supported by Macroscopic Ventures and Leap Year. We’re hiring a Research Engineer (Generative AI, Vision) to turn cutting-edge ideas into shipped capabilities. You’ll prototype fast, validate with real data, and partner closely with engineering to deploy models that directly impact design tools, manufacturing specs, and marketing workflows. What makes us unique: One User, One Model: Our agents fine-tune on each customer’s data to learn their brand aesthetics. With privacy-preserving post-training, no two users receive the same outputs. End-to-End AI: We don’t stop at images. Each design includes manufacturing-ready specs (3D render, technical drawing, BOM), and generations can be constrained by inventory (stone layouts, gold weights, chain styles). What you’ll do: Own a practical research roadmap: ideate, prototype, evaluate, and ship. Build and refine multimodal generative models for images, video, and 3D-friendly outputs. Create editing/manipulation tools (inpainting, layout control, style transfer, text+image conditioning). Work with product and engineering to productionize models (latency, reliability, monitoring) and deliver to leading diamond manufacturers. What success looks like: Weeks-to-impact: demonstrable improvements in generation quality, controllability, speed, or manufacturability. Clear experiments: metrics, ablations, and data-informed decisions. Production mindset: robust inference pipelines, reproducible training, and practical constraints baked in. Required skills: Strong knowledge of computer vision and modern deep learning (diffusion/transformers, conditioning, control). Hands-on experience training, fine-tuning, and modifying generative models; comfort with dataset creation/curation. Solid coding skills: Python; experience with C/C++ or optimizing inference is a plus. Familiarity with tools like ComfyUI helpful. Strong CS fundamentals: algorithms, performance, debugging, and problem solving. Nice to have: Multimodal experience (images, video, audio, text/speech). 3D vision and geometry (registration, articulated/non-rigid synthesis); familiarity with CAD/CAM outputs. Experience building creator/editing tools (masking, segmentation, tracking, temporal consistency). History of shipping research to product or measurable user impact. Minimum qualifications: Demonstrated ability to deliver research engineering outcomes—prototypes that ship, models that improve product, or tools that make creators faster. Degree optional. We’re an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law.