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Principal Engineer - Applied AI

Discovered MENA
Abu Dhabi, UAE
Full Time
Lead
Onsite
1 months ago
Software engineeringAI technology landscapeFrontier modelsRAG and retrieval architecturesAgent frameworksInference infrastructure
Free

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Software engineeringAI technology landscapeFrontier models
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About the Project

  • Our client is building an elite, highly specialized AI engineering organization designed to put modern technology, data, and frontier AI at the center of large scale, enterprise, and public sector operations.
  • Their work spans frontier model evaluation and deployment, sovereign inference and serving infrastructure, retrieval and agentic systems, robust evaluation pipelines, and applied products built for mission critical dependency.
  • The remit is unusually broad, the timelines are short, and the stakes are exceptionally high.

Role Overview

  • Looking for a Principal Engineer to be one of the deepest technical voices inside the organization.
  • Set technical direction across multiple teams, lead architectural decisions, and raise the technical ceiling.
  • This is a senior, highly technical individual contributor role.
  • Requires a strong technical backbone to make build/buy/partner calls and push back firmly against unrealistic requests.

Key Highlights of the Role

  • Deeply Hands On & Current: actively read code, run experiments, write prototypes, produce reference implementations.
  • Data Driven Pushback: use concrete benchmarks, metrics, and system constraints to push back against unfeasible demands.
  • Alternative Architecture Design: when saying no, immediately deliver alternative technical solutions.
  • Cross Team Technical Direction: set architecture, interfaces, deployment patterns, and standards for systems spanning multiple teams.
  • Navigating AI Realities: design for non determinism, model drift, latency, and cost at scale.
  • Multiplying the Engineering Bar: mentor senior and staff engineers, set high bar in technical reviews.
  • Strategic, High Stakes Impact: represent engineering realities to leadership and external partners.

Core Qualifications

  • 12+ years of software engineering experience, with a proven track record at staff or principal level.
  • Current, active technical depth—still writes and reads code.
  • Demonstrated ability to handle multi stakeholder environments with data driven assertiveness.
  • Strong working knowledge of current AI technology landscape (frontier models, RAG, agent frameworks, inference infrastructure).
  • Exceptional written and verbal communication.

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