Member of Technical Staff — AI / Software Engineering (India)
About the role
About Cekura
Cekura is building the infrastructure for self-improving conversational agents.
Teams use Cekura to test, monitor, debug, and improve AI agents across voice, chat, SMS, phone, and web. We help them catch failures in latency, barge-in, tool calls, hallucinations, instruction-following, regressions, and production workflows.
We're YC F24, growing fast, backed by top investors, and working with teams deploying AI agents in the real world.
About the Role
We're hiring a Member of Technical Staff to build the core of Cekura, the simulation engines, evaluation systems, and observability pipelines that our customers rely on to ship agents with confidence.
We deliberately don't split this role into "software engineer" vs. "AI engineer." At Cekura, the interesting problems live at the boundary: real-time voice infrastructure meets LLM-as-judge evaluation, distributed systems meet RL-style self-improvement loops for agents, telephony meets audio and speech analysis — ASR quality, barge-in, latency, prosody — and classic NLP meets frontier agentic behavior. You'll work across that whole surface.
What You'll Do
Build the testing and simulation engine
Design and ship systems that simulate thousands of realistic conversations against customer agents — across voice, chat, and phone — with control over personas, interruptions, background noise, and edge cases.
Push the frontier of agent evaluation
Build LLM-powered evaluators, metrics, and self-improvement loops that catch failures humans miss — and make them accurate, fast, and trustworthy at scale.
Do applied audio and speech research
Go beyond the transcript. Separate background noise from actual speech, and map the paralinguistic layer of conversation into structured signals — emotion and tone, silences and hesitations between words, speaking rate, overlaps and interruptions — so agents can be evaluated on how something was said, not just what was said.
