At humaineeti, AI co-work is not a pitch — it is how we operate every day. We build autonomous agents that run enterprise workflows, and we hold every one of them to the same standard: transparent, evaluated, and governed.
Our founders come from AWS, Google, and IBM. We bring Big Tech rigour to an early-stage, agent-first startup — and we are looking for people who want to do work that matters.
You build agents, fine-tune models, design evaluation frameworks, and care about reliability under real-world conditions. You are comfortable working across LLMs, SLMs, agentic RAG, and multi-agent orchestration.
You study how agents reason, plan, fail, and recover. You bridge frontier research with production systems — agentic reasoning, self-correction, tool-use calibration, and evaluation methodologies.
You architect data platforms, build real-time pipelines, and know your way around lakes, warehouses, and lakehouses. You care about data quality, governance, and making data useful — not just available.
You build the interfaces, APIs, and infrastructure that bring agent systems to life. You think in systems, ship to production, and value clean, observable, debuggable code.
Work alongside AI coworkers in a team that practices what it builds
No shelf-ware, no demos. Everything we build ships to production from day one
Ethics and governance are built into our process, not bolted on after
Media, Manufacturing, Retail, Fintech — diverse problems, real impact