AI Lead at DrDroid (W23)
₹4.5M - ₹5M INR  •  1.00% - 2.00%
Your best friend in production.
Bengaluru, KA, IN / Bengaluru, Karnataka, IN
Full-time
US citizenship/visa not required
3+ years
About DrDroid

What we do

DrDroid is building AI Agents for Platform & Infrastructure teams. We help engineering teams fix issues faster and reduce escalations during on-call—automating triage, debugging, and remediation.

We’re also the team behind several open-source projects: 🔹 Playbooks – A runbook automation platform 🔹 Kenobi – An event analytics platform for debugging data pipelines

Join us in redefining how teams run operations in the post-GPT world.

Vision

Think if anyone in the team can debug an average production issue without requiring to involve a senior engineer (or a team of engineers?). Wouldn't that be wonderful? That's what we are working towards.

Funding

To work towards our vision, we couldn’t have been more grateful for having some amazing investors. We are lucky enough to be supported by Accel and we were part of Y-Combinator’s W23 batch.

In case you are interested to know more about the team, check this page. If you're passionate about building tools to improve lives of other developers, we might be a good fit.

About the role
Skills: Python, Machine Learning

We are looking for an AI lead to join our team.

What are the kind of problems you’ll be solving:

  • Designing architecture & managing orchestration for AI Agents & Subagents at scale (companies build one/more agents to monitor their infrastructure using our platform)
  • Building evals and improving reliability/consistency of agents
  • Tackling problems related to AI infrastructure like — improving agent response latency, handling edge cases, context window related issues and more.

Here’s what we are looking for:

  • Atleast 4 years of ML experience & 1.5+ years of experience working with LLMs in production use-cases (agent orchestration experience is required)
  • Completely involved in development & getting hands dirty. We do not have any mgmt.

What will make you a perfect candidate:

  • Additionally, atleast one year of backend engineering experience and have been on-call.
Technology

We currently manage 30+ MCP servers and 40 internal AI agents powering our platform.

Tech Stack:

  • Full Stack: Python & TypeScript
  • AI Stack: LangGraph, OpenAI, Anthropic
  • Cloud Infrastructure: Azure
Interview Process
  • We will do a quick screening of the individual
    • This involves 1:1 calls with the founders & founding engineers
  • If we like it, we will do a paid 1-2 week trial with a user on a problem statement
  • If all goes as per expectation, we will be keen to onboard the individual

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