Please mention DailyRemote when applying
AI Summary
About us
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 (IIT Bombay). We're a small team of exceptionally capable, passionate engineers with paying enterprise clients and growing revenue, backed by Seaborne Capital, 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.
About the role
Every Rifa agent talks to someone about money they owe. How it sounds decides whether that call de-escalates or escalates, whether a legally required disclosure lands as information or as a threat, and whether the person on the other end stays on the line. That is a design problem, and right now nobody owns it.
You will own how Rifa's US English voices sound: the accent, the pacing, the register, and the hundred small prosody decisions that separate a voice people trust from one they hang up on. You will work with US financial services clients to turn "firm but human" into a specification an engineer can build against, and you will help us define what good even means so we can test for it rather than argue about it.
What you'll do
Design and ship production voices. Take a voice from concept to live calls: accent, pace, register, and the prosody choices that make a sentence sound considerate rather than clipped. You will hear your work on real calls within weeks.
Make a disclosure sound like information. Collections calls carry language that must be delivered word for word. Getting the words right is an engineering problem. Making them sound like a person rather than a recording is yours.
Tune in the tooling, not in a document. You will work in the voice pipeline directly: run the CLI, change configuration, open a pull request, listen to the result, iterate. You do not need to be an engineer; you do need to be comfortable in a terminal.
Cast the voices and run the sessions. Find US English voice actors, direct them in the room, then cut, clean and prepare the audio to the standard the synthesis pipeline needs.
Define what a good voice is. Naturalness, intelligibility down a phone line, consistency across a twelve-minute conversation, fit with the client's brand. Turn those into checks our eval suite can actually run, so voice quality stops being a matter of taste alone.
Sit in on client calls. Work with clients' operations and compliance teams to draw out the hard constraints (telephony bandwidth, latency, how an account term should be pronounced) and the soft ones (how firm is too firm).
Push back on our own tooling. You will hit the limits of the voice pipeline before anyone else does. Tell the platform team exactly which lever you reached for and could not find.
What you'll bring
You have been paid to care how something sounds: sound design, audio post-production, music production, or voice and interface audio.
You have recorded and edited human speech yourself, not only briefed someone who did. You know your way around a DAW such as Pro Tools, Logic, Ableton, Audition or iZotope RX, and you can rescue a noisy take.
A native or near-native ear for US English. You can hear the difference between two American reads and explain which one belongs on a collections call and why.
Comfort in a terminal: running scripts, editing a config file, opening a pull request, using AI coding tools. Not a software engineer, and not frightened of one either.
A body of work we can listen to: voices, sonic branding, interface sounds, character work, anything where the sound itself was the deliverable.
Reliable daily overlap with US business hours (ET/CT), which in practice means a late-afternoon-into-evening IST schedule, since client calls happen on their clock.
Even better...
Speech synthesis or TTS experience: voice cloning, prosody control, SSML, or tools such as ElevenLabs.
Telephony audio, and first-hand knowledge of what narrowband does to a carefully designed voice.
A regulated or otherwise high-stakes context where tone had consequences.
A second language you could help us design for later. We start with US English; we do not intend to end there.
How we work
Small teams per client, with real ownership. We review each other's work, we write things down, and we'd rather hear an honest "I don't know yet" than a confident wrong answer.
Our values
Trust: We do the right thing, especially when nobody is checking. Clients hand us regulated conversations with their own customers, and we earn that every day.
Transparency: We write things down, share the real numbers, and say "I don't know yet" out loud, with each other and with clients.
Technically best solution: We choose what's right, not what's easiest or trendiest. When we notice we got it wrong, we fix it.
Decisiveness: We decide quickly with the information we have, commit, and correct course fast when reality disagrees.
Simplicity: We keep systems, processes, and words simple. Complexity is a cost we pay only when it clearly buys something.
Automatically Apply to the Best Remote Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
