Applied AI Engineer

Paires; United Arab Emirates; On-site; AED 300,000 - 540,000; Full time

Benefits offered by this job

email and CRM integrations

RevOps exposure

sales or IR experience

Job summary

Paires is building a conversational AI platform in the United Arab Emirates. You will own how we converse in every reply, handling bookings, nurture flows and coaching experiences built on the same data.

This role starts as the reply and messaging system and grows into a core part of the product, with broader applied-AI features across the platform. You will work with human-in-the-loop setups, ship production LLM systems, and push the boundaries of how the team uses AI to move fast and deliver

Responsibilities

• Own the end-to-end conversational AI system across messaging and outreach.
• Build and deploy conversational agents with human-in-the-loop.
• Develop eval spine and guardrails for growing conversations.

Job description

The role

The role You own how Paires converses every reply handled well and in time booking nurture and the coaching experiences we are building on the same data It starts as our reply and messaging system and grows into a core part of the product You will also build broader applied-AI features across the platform

What this seat is not

What this seat is not a research seat An internal knowledge bot or a RAG demo is not the bar We want people whose systems hold real conversations with real people outside their team day after day Cold outreach from nothing is a different seat too - here the conversations already exist and your agents carry them

What you will own

• Agents that read inbound messages and draft the right reply fast with a human in the loop
• The messaging layer across our warm outreach our warm investor network and investor relations not just one inbox
• Conversational agents end to end replies booking nurture and support that reads human
• The eval spine that gates quality golden sets judges and the guardrails that hold as the conversations grow
• Broader applied-AI features classification extraction routing summarization

You are a fit if you

• Ship conversational LLM systems to production with real users reply handling support booking or nurture agents Inbound work counts fully here
• Have built evals yourself golden sets from scratch judge criteria ship or rollback decisions made on the numbers
• Have integrated LLMs with email CRM or messaging systems
• Think like an operator and know the business goal behind the message
• Are an engineer first We run roughly 80 20 engineering to research
• Move fast with AI tooling and own outcomes

Our stack

Python Supabase Pydantic AI Claude Agent SDK AWS If you have shipped on any of it lead with that

Bonus

• email and CRM integrations
• RevOps exposure
• sales or IR experience