Vertexcover Labs
https://vertexcover.ioAbout
About Us
At Vertexcover Labs, we're on a mission to revolutionize the way real-world problems are tackled using Generative AI. We pride ourselves on delivering cutting-edge solutions for some of the leading consumer-facing companies out there. Our collaborations with top names such as Invideo, Rephrase, Dunzo, Xapo, Dubdub, and Madmen have empowered us to drive AI-driven transformations that make a tangible impact.
As an employee-first startup, Vertexcover Labs is deeply committed to the happiness, growth, and continuous learning of our team. Our unique cultural values set us apart from others in the industry, creating an environment where innovation flourishes and ideas come to life.
Why Join Us?
- Tackle Hard Problems: Engage with some of the most challenging issues in the AI domain and see your solutions come to life.
- Choose Your Projects: Gain the autonomy to select projects that excite and inspire you, aligning with your personal and professional growth aspirations.
- Profit Sharing: Benefit from our profit-sharing model that recognizes and rewards your contributions to our collective success.
At Vertexcover Labs, we believe in creating a workspace that not only fuels creativity and innovation but also values and uplifts each member. If you're passionate about making a difference with Generative AI and thrive in a dynamic, supportive environment, we’d love to hear from you. Join us in shaping the future!
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AI Engineer — Vertexcover Labs
Who We Are
Vertexcover Labs is an employee-focused, engineer-run software studio. We partner with fast-growing, funded startups around the world—Rephrase.ai, Dhiwise, Dunzo, Dubdub, Xapo, Arintra etc.—to crack their toughest engineering problems. Everyone is an individual contributor; no management layers. Engineers choose the projects they work on, see each project's P&L, and share directly in the profits.
Whether it's building multi-agent systems for production, scaling ML pipelines across GPU clusters, or shipping RAG-powered products that end-users rely on—we solve hard AI problems for real companies.
A Few Problems We Are Currently Working On
- AI Agents Test-authoring agents that convert natural language into e2e tests.
- Ad-performance agents that learn what works for your brand and generate winning creatives automatically.
- Scale + MLOps Optimise ML pipelines and fix autoscaling by applying queuing theory while juggling CPU / GPU memory contention.
- RAG & Knowledge Systems Design and deploy retrieval-augmented generation pipelines—chunking strategies, embedding models, reranking, and evaluation loops.
- AI Video & Image Processing Build rendering pipelines, diffusion-model integrations, and real-time video processing at scale. You'll own at least one project like these—design, build, iterate.
Signals You're Probably the Right Fit
- Strong in at least one other language (Python, Go, Rust, TypeScript, Java …); happy to learn more.
- First principle understanding of how LLMs, embeddings, vector databases and AI Agents work
- Evidence of shipping real AI-powered software—OSS, side projects, or production features.
- Comfortable navigating the fast-moving AI landscape—papers, new model releases, evolving APIs.
- Clear written & spoken communication; async collaboration is our default.
- Self-directed—you ask for context, not permission.
How We Operate
- Project choice. Engineers vote on which engagements we take.
- Stack agnostic. We pick tools that fit the job, not the résumé.
- Pragmatic craftsmanship. Durable design, no gold-plating.
- Transparent economics. Know what your work is worth, share in the profits.
- Remote-native. Async by default; sync when it helps.
Hiring Process (Lean & Human)
- 2–3 technical deep-dives with future teammates.
- 30-minute culture chat.
- Offer. No LeetCode marathons, no trick puzzles.
We read every application and reply to all candidates.
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