Job Summary

Turn slow workflows into reliable AI-assisted systems.

We are hiring an AI Automation Engineer to find high-leverage workflow problems and ship reliable systems that improve revenue per employee. Include AI automation is cool in the subject line.

You will own the full path from process discovery through build, rollout, monitoring, documentation, and measured adoption. A demo is not done. The system must work for the people who depend on it.

Your mission: Build automation systems that create at least in annualized efficiency or equivalent documented business leverage and help double revenue per employee over 12 months.

Responsibilities

- Map current workflows with the people who do the work.
- Rank opportunities by frequency, time, error cost, business value, and implementation risk.
- Build production automations across approved AI models, APIs, data sources, and workflow tools.
- Add validation, retries, logging, alerts, access controls, and human approval where needed.
- Train users, document the system, measure adoption, and close gaps after launch.
- Track time saved, cost avoided, cycle-time change, quality, revenue effect, or another approved KPI.
- Maintain existing automations and retire systems that no longer create value.

What success looks like

In 30 days, you have mapped the highest-value workflows, set baselines, and shipped one practical production automation.

By 60 days, you have multiple adopted systems with monitoring, owners, documentation, and measured results.

By 90 days,



the automation backlog is prioritized by ROI and your shipped systems show meaningful annualized leverage.

Evidence we need to see

- Two or three production automations with your exact ownership.
- One measured result tied to time, cost, quality, revenue, adoption, or cycle time.
- An example of diagnosing a workflow before choosing a tool.
- Evidence of error handling, monitoring, data controls, and human escalation.
- A concrete AI automation workflow and an honest account of what failed or changed.

This role is not
- A prompt-only or prototype-only role.
- A role that automates a broken process without understanding it.
- A role that reports theoretical time savings without adoption evidence.
- A role for unmonitored systems with unclear ownership.

How the process works
1. Application and evidence review.
2. A focused workflow and engineering screen.
3. The published Beat Claude engineering challenge.
4. A live system-design and tradeoff review.
5. References and final decision.

Job Details
- Location: Remote
- Job Type: Contractor (Full-time, remote)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Automation Engineer (India)
🏢 Single Grain
📍 India