Lead Deployment Engineer (AI)

Job Specification :

Deploy AI in workflows

Map how counseling, admissions, documentation and follow-up work.

Coordinate with the department head and founder, agree on business metric before code is written.

Enquiry-to-enrolment conversion, counselor hours per student, application turnaround time, documentation error rate.

Build it into the systems the team already uses, run it at real volume

Lead the engineering team

Own the systems you build

You will also integrate with existing builds: NetMind (Contacts tool Lovable, Supabase, MCP server wired into Claude) and the Acomodo surfaces acomodo map.com, Connect and the Supply Site.

Build tools that compound

Small, high-leverage internal tools that make employees measurably faster counselor dashboards, document chasing, branch reporting, lease and availability tracking.

What we are looking for

2-4 years building and shipping software that real users depend on.

Experience mentoring or leading at least one other developer.

Genuinely fast with AI-assisted development (Claude, Cursur, Lovable or equivalent) and able to read, debug and fix what comes out of it.

Comfortable across that stack: front end, APIs, databases (Postgres / Supabase), deployment.

Have integrated with systems you did not build – CRMs, spreadsheets, third-party APIs, processes held together by Whatsapp.

Willing to study existing workflow before proposing anything.

Able to explain a technical decision in one page to a non-technical reader.

Great to have

Education, study-abroad, or another high-volume, document-heavy, operations business.

Prior work embedded with business or operations teams rather than inside a product org.

MCP servers and agentic tooling.

Exposure to GDPR or UK/EU data handling.

How we work

In-office in Mumbai, with regular time inside Edwise branches and occasional travel.

Direct reporting to the founder.

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