India (Remote)

Contract-to-Hire | Mid-Senior Level

Why does this role exist?

Rocket Equities is a boutique mid-market M&A advisory firm operating alongside Rocket Capital (Private Equity, Venture Capital, and Private Credit).

We’re building toward a future where every repeatable workflow is augmented or run by AI agents — from deal origination and CIM prep to investor outreach and diligence coordination.

This is not a strategy, PM, or support role.

This is a builder role.

If you enjoy shipping working AI agents weekly and measuring impact in hours saved, keep reading.

Your mandate?

Your single objective is simple and measurable: Increase the percentage of business processes handled by AI agents and reduce human hours per completed transaction, month over month.

What you’ll do:

First 30 days:

Sit with analysts, associates, VPs, partners, and ops teams to map recurring workflows
Break processes into automatable steps
Identify, prioritize and build high-impact, low-complexity automations

Days 30–60:

Build and deploy 3–5 production-ready AI agents
Examples:
Deal screening summaries
Buyer long-list generation
CIM formatting and data extraction
Meeting notes → CRM updates
Comparable company analysis
Document and roll out agents for real usage

Days 60–90:

Drive adoption, iterate based on feedback
Run weekly “agent office hours”
Track usage, breakpoints, and hours saved
Report directly to the CEO with automation KPIs

Ongoing:

Continuously spot new automation opportunities
Improve agents as tooling evolves
Own the firm’s automation dashboard and results

Skills we’re looking for:

Must-have:

Strong expertise with Python, Typescript (you write production code)
Strong experience with Vibe coding.
Expertise building LLM driven automation systems
Built multi-step agents using LangChain, CrewAI, n8n, or similar
Willing to try and experiment and fail with AI.
Experience integrating agents with tools like Slack, Monday.com, email, spreadsheets, CRMs ( Optional )
Ability to map messy business processes into clean, automatable steps
Excellent spoken and written English (non-negotiable)

Nice-to-have:

n8n / Zapier
Cloud deployment (AWS/GCP)
Openclaw
PDF and document automation

Mindset:

Builder > planner
Ships fast, iterates faster
Thinks in ROI and hours saved, not “cool tech”
Comfortable pushing adoption with senior stakeholders
Comfortable with a very fast paced work environment where trying and iterating matters more.

Ideal background:

3–6 years total experience
Titles like: Automation Engineer, AI Engineer, Gen AI engineer
Experience from: Consulting tech practices (Deloitte, Accenture, EY, PwC, KPMG) with hands-on build work or medium sized firms dealing with huge volume of data
Product or fintech companies building internal tools
Strong independent builders with a real deployment portfolio

Compensation:

₹18 LPA all-in (≈ 2,100 USD/month)
Performance bonus tied to automation KPIs
3-month contract-to-hire → full-time

Do NOT apply if:

You have never built an automation used by other people
Your experience is only academic or certification-based
You prefer strategy or management over building

This role is evaluated by what you have built, not what you know in theory.

AI Process Automation Lead