AI Agent Architect
Quick Summary
Develop deep intuition for LLM and agent behavior, identifying failure modes and regressions Define and run high-leverage experiments to improve agent quality, reliability,
Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.
Since public launch, Emergent has reached $100M ARR in 8 months. 6M+ users across 190+ countries have built 6.5M+ applications on Emergent. We've raised $100M+, backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.
We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.
We're hiring builders who want ownership, speed, and impact at global scale.
Responsibilities
~1 min read- →Develop deep intuition for LLM and agent behavior, identifying failure modes and regressions
- →Define and run high-leverage experiments to improve agent quality, reliability, and code outcomes
- →Ship improvements with clear metrics, evaluation gates, staged rollouts, and rollback criteria
- →Define evaluation frameworks and work with engineering teams to measure agent quality at scale
- →Drive initiatives around context engineering, memory systems, and frontier agent capabilities
- →Think like the agent, continuously making it smarter, more reliable, and more useful
- 5+ years of software engineering experience with end-to-end ownership
- Strong technical depth paired with sharp product intuition
- Comfortable working with metrics, experimentation, SQL, and/or Python
- Able to thrive in ambiguity and move fast with rigor
- Hands-on and up-to-date with emerging AI research and industry trends
What We Offer
~1 min readListing Details
- Posted
- March 19, 2026
- First seen
- March 26, 2026
- Last seen
- April 14, 2026
Posting Health
- Days active
- 19
- Repost count
- 0
- Trust Level
- 39%
- Scored at
- April 14, 2026
Signal breakdown
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