Audria, Noida (on-site, five days a week), full time.
About Audria
Audria is an agentic AI notetaker for teams that work from an office. It converts in-person conversations, including standups, whiteboard sessions, and desk-side reviews, into completed actions in Gmail, Slack, Jira, Linear, and Confluence. It identifies team members by voice and adds relevant context to tools such as Claude and ChatGPT.
Role Overview
This role exists to build Audria's agent harness, the system that wraps around the model and determines whether it operates reliably. The work spans four connected layers: prompt design, context engineering (what the model sees at each step), harness engineering (the tools, guardrails, and environment the agent operates in), and loop engineering (how the agent observes, acts, verifies, and recovers over many steps). Harness and loop engineering are the center of this role, not prompting alone. This work directly shapes how Audria turns conversations into completed actions across tools like Gmail, Slack, Jira, Linear, and Confluence.
Responsibilities
- Design and build Audria's agent loop: the repeating cycle of model calls, tool execution, and decisions about when to continue or stop, sometimes called loop engineering
- Engineer context: decide what goes into the context window at each step, including retrieved data, tool results, message history, and MCP resources, and manage compaction as sessions grow long
- Engineer for caching: structure prompts and context so that prefix and KV cache hit rates stay high, keeping latency and inference cost down as agent sessions get longer
- Design the tools, guardrails, and validation logic that keep the agent correct and safe when running with minimal supervision
- Build backend systems using FastAPI, with scalable databases, caching layers, and containerized deployments, to run the harness in production
- Set up observability and evaluation infrastructure, using tools such as Langfuse or comparable platforms,
📌 AI Harness Engineer (Noida)
🏢 Audria
📍 Noida