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 an 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.
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Responsibilities
Design and implement state-of-the-art ML and LLM-powered features for the Aera Platform.
Build and own agentic workflows end to end — multi-step reasoning, tool use, subagent orchestration, and long-horizon autonomous loops — with human-in-the-loop checkpoints where the stakes demand them.
Build the eval harness before you build the agent. Own offline and online evaluation, golden datasets, regression gates tied to prompt and model versions, and test suites that hold up under non-determinism.
Optimize agent performance and cost across the full set of levers: context engineering and compression, prompt caching, parallel and async tool