AI Engineer — Vertexcover Labs

Who We Are

Vertexcover Labs is an employee-focused, engineer-run software studio. We partner with rapid-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)

1. 2–3 technical deep-dives with future teammates.
2. 30-minute culture chat.
3. Offer. No LeetCode marathons, no trick puzzles.

We read every application and reply to all candidates.

Skills:- Generative AI, Python, Go Programming (Golang), Rust, TypeScript, Java, AI Agents and Large Language Models (LLM)

📌 AI Engineer (India)
🏢 Vertexcover Labs
📍 India