Agent Engineer

ABOUT US

Rifa AI https://rifa.ai is building the AI agents platform for contact centers in regulated industries.

Enterprises in these industries want AI agents handling their customer operations and mostly can't deploy them. It's not a model problem. Horizontal platforms lack governance, release processes, and change management, and in a domain where every call can be reviewed by a regulator, that's disqualifying. Building an AI agent has never been easier. Deploying one an enterprise can trust has never been harder. That harder problem is the one we work on.

Our platform turns a company's written procedures into AI agents: voicebots that hold real-time conversations, take actions in the client's CRM, and stay within the limits the client has set. Every release is gated by an automated testing suite, and every conversation feeds a post-analysis platform. We're live in production today, handling debt collection calls for US financial services clients.

The engineering convictions behind it: evaluation methodology, not model capability, is the bottleneck. Every rule and decision trace becomes part of a company's context graph. Observability goes beyond logging. And our Agent Studio lets engineers, non-engineers, and auditors collaborate to build and improve AI agents with the right guardrails to achieve the expected business outcomes.

Rifa was founded by Sameer Fulzele https://www.linkedin.com/in/sameerfulzele/ (IIT Bombay). We're a small team of exceptionally capable, passionate engineers with paying enterprise clients and growing revenue, backed by Seaborne Capital https://www.seabornecap.com, a founder-first firm of exceptional industry operators that works closely with its founders, and by angel investors who are veterans of enterprise software and operators in the accounts receivable industry.

WHAT YOU'LL DO

An Agent Engineer owns a client's voice or chat agent in production. Not a component of it, the whole thing: the procedure it follows, the instructions that govern how it speaks, the code that connects it to the client's systems, and the tests that prove it does what the documentation says. When a client says "the bot offered a payment plan below our minimum," you're the person who works out why, fixes it, and explains the fix to the client. You'll ship changes that speak to real callers in your first two weeks.

- Own a client delivery end to end. Take requirements from first conversation through pilot, production, and continuous iteration as procedures change, volumes grow, and models improve.

- Engineer the agent's behavior. Write and maintain the instruction sets that determine what the agent says and when. Instructions are versioned, tested, and reviewed like code, because a wrong word in a disclosure is a compliance incident, not a UX bug.

- Build the evaluation gate. Automated tests that replay past conversations and check the agent follows the procedure. Nothing ships without passing them.

- Debug live conversations.