Swenivis is a focused team of AI engineers, full-stack developers, and infrastructure specialists led by a founding duo with 30+ combined years of enterprise and HR experience. We stay deliberately small — every person on your project is senior and accountable.
Engineer, AI systems architect, and product strategist with 20+ years of enterprise IT experience. Built the Swenivis Friday One from scratch as a live demonstration of AI-native enterprise software. Leads all engineering and product strategy at Swenivis Technologies.
People strategist and organizational development leader with 12+ years of experience building high-performance teams in technology and services. Shapes Swenivis's talent philosophy — from hiring and culture to compliance and leadership development.
Specialists in agentic workflow design, LLM integration, and RAG pipeline architecture. We build with LangGraph, CrewAI, and MCP — and treat agent reliability with the same rigour as software reliability.
AI-native product engineers working across React, Next.js, Node.js, Python (FastAPI), and Go. Every system we ship is observable by default and designed for incremental AI augmentation.
Infrastructure engineers and QA specialists who keep systems running and shipping. Our QA practice includes LLM output validation and prompt regression testing — not just traditional E2E automation.
We don't add AI to projects at the end. We evaluate every system we design for where autonomous agents, RAG, or LLM integration create genuine leverage.
We take time to build things right — not just fast. A well-architected system saves more time over 12 months than any sprint shortcut.
No hidden blockers, no scope creep surprises. We communicate early, document our reasoning, and publish our decision frameworks publicly.
Every engineer has a dedicated R&D budget and 20% time for AI/agentic experimentation. We require keeping up — not just staying familiar.
We are looking for engineers who are genuinely excited about agentic AI — not just familiar with it.
