Aera Technology is a pioneer in the growing category of Decision Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026 – the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions.
Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable.
We are looking for a Senior AI/Machine Learning Engineer to set the technical direction for agentic AI on the Aera Platform. This is a role for someone who has already shipped autonomous agents into production, watched them fail in ways the demo never showed,
and built the evaluation and guardrails that made them trustworthy the second time. You will make the architectural calls that the rest of the team builds on — and you will be accountable for them when a recommendation moves a real supply chain.
This role will be based in our Pune office.
Responsibilities
Set technical direction for agentic systems at Aera. Choose the architecture, write the design docs, and make the call on build-vs-buy, model selection, and framework adoption — then defend those decisions with evidence when they're challenged.
Own the agentic platform end to end: multi-step reasoning, tool use, subagent orchestration, agent memory, and long-horizon autonomous loops — including where a human checkpoint is non-negotiable and where it isn't.
Own the evaluation discipline for the org, not just your own features. Offline and online evals, golden datasets, LLM-as-judge pipelines, regression gates tied to prompt and