Conversation AI Engineer

ATRIBS; Abu Dhabi; On-site; AED 335,000 - 614,000; Full time

Job summary

ATRIBS in Abu Dhabi seeks an engineer to design and build customer facing AI agents that respond in English and Arabic, with production readiness and traceable content sources.

You will own retrieval quality, bilingual behavior, escalation rules, and reporting to the client in their secure environment, delivering a working agent within the first 90 days.

Qualifications

• Three years or more building software with at least one year on LLM-based applications that reached real users.
• Production experience with retrieval over enterprise content and a clear view on why retrieval quality fails.
• Strong Python and comfort working inside someone else’s codebase and cloud account.
• Experience designing conversation flows including failure paths not only the ideal path.
• Evidence of measuring an AI system rather than demonstrating it.
• Able to work onsite with client teams and explain technical decisions to non technical stakeholders.

Responsibilities

• Design and build AI agents that resolve customer enquiries from approved knowledge sources with answers traceable to source content.
• Own retrieval quality: content preparation, chunking, indexing, refreshing; manage behavior when no good answer.
• Build bilingual behavior including language detection, switching mid-conversation, and Arabic responses for a Gulf audience.
• Define escalation rules and handover to human agents so the customer isn’t left in a loop.
• Set up evaluation before launch: test sets, accuracy measurement, regression checks on changes.
• Instrument the agent to show resolution rate, escalation volume, and response accuracy to the client.

Skills

Python

LLM applications

Retrieval systems

Conversation design

Measuring AI systems

Onsite collaboration

Tools

WhatsApp Business

Job description

PURPOSE OF THE ROLE

You build customer facing AI agents that answer real enquiries correctly in English and Arabic and you are accountable for how they behave in production. Our first deployment for this role is a bilingual customer service agent for a major client in the UAE energy sector covering web messaging and voice.

WHAT YOU WILL DO

• Design and build AI agents that resolve customer enquiries from approved knowledge sources with answers traceable to source content.
• Own retrieval quality how content is prepared chunked indexed and refreshed and how the agent behaves when it has no good answer.
• Build and tune bilingual behaviour including language detection switching mid conversation and Arabic responses that read naturally to a Gulf audience.
• Define escalation rules and the handover to human agents so the customer is never left in a loop.
• Set up evaluation before launch test sets accuracy measurement regression checks on every change.
• Instrument the agent so resolution rate escalation volume and response accuracy are visible to the client in reporting.
• Work in the client s environment under their security and data residency requirements.
• Hand over documentation and run training so the client s own team can operate and extend the agent WHAT SUCCESS LOOKS LIKE IN THE FIRST 90 DAYS.

WHAT SUCCESS LOOKS LIKE IN THE FIRST 90 DAYS

• A working agent in a client environment answering a defined enquiry set in both languages.
• An evaluation set the client agrees represents their customers with measured accuracy against it.
• Escalation and handover rules signed off by the client s service team.

ESSENTIAL EXPERIENCE

• Three years or more building software with at least one year on LLM based applications that reached real users.
• Production experience with retrieval over enterprise content and a clear view on why retrieval quality fails.
• Strong Python and comfort working inside someone else s codebase and cloud account.
• Experience designing conversation flows including failure paths not only the ideal path.
• Evidence of measuring an AI system rather than demonstrating it.
• Able to work onsite with client teams and explain technical decisions to non technical stakeholders.

DESIRABLE

• Arabic language skills particularly Gulf dialect handling in speech or text.
• Experience with contact centre platforms WhatsApp Business or voice channels.
• Work in a regulated environment banking energy healthcare or government.
• Exposure to guardrails prompt injection defence and content safety in customer facing systems.

ESSENTIAL EXPERIENCE

• Three years or more building software, with at least one year on LLM based applications that reached real users.
• Production experience with retrieval over enterprise content, and a clear view on why retrieval quality fails.
• Strong Python, and comfort working inside someone else's codebase and cloud account.
• Experience designing conversation flows, including failure paths, not only the ideal path.
• Evidence of measuring an AI system rather than demonstrating it.
• Able to work onsite with client teams and explain technical decisions to non technical stakeholders.