Senior AI Engineer - Riyadh or Dubai

Talent Seed Germany
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design and develop cutting-edge AI systems, combining AI, infrastructure, and human-centered design. Build intelligent assistants and anomaly detection pipelines. Collaborate with engineers and product teams to drive customer experiences.

Key Highlights
Shape technical direction and bring AI concepts to life
Design systems combining AI, infrastructure, and human-centered design
Collaborate with engineers, tech leads, and product teams
Develop intelligent assistants and anomaly detection pipelines
Take ownership of reliability, latency, and cost
Technical Skills Required
Python FastAPI gRPC Postgres Streaming/Pub-Sub Agent frameworks (ADK or similar) Retrieval-Augmented Generation (RAG) pipelines LLM prompting Retrieval design Evaluation Time-series analysis Cloud infrastructure (GCP, AWS, Azure) Networking Autoscaling CI/CD IaC Observability Cost optimisation AI-native dev tools (Cursor, v0, Claude Code)
Benefits & Perks
Relocation support (Riyadh or Dubai)
Opportunity to work on cutting-edge AI projects

Job Description


*Riyadh or Dubai Based* - This role requires relocation to Riyadh or Dubai.


You’ll shape the technical direction and bring ambitious AI concepts to life, turning prototypes into scalable, reliable products that power next-generation customer experiences. Working closely with engineers, tech leads, and the CTO, you’ll design systems that combine cutting-edge AI, strong infrastructure, and human centred design.


You’ll build intelligent assistants that process live conversations, extract structure from unorganised data, and surface real-time insights. You’ll develop anomaly detection and novelty discovery pipelines that blend classical time-series methods with LLM-driven context awareness.


You’ll take ownership of reliability, latency, and cost, building robust RAG pipelines, managing GPUs, and operating scalable cloud infrastructure. Collaboration is key, and you’ll integrate AI systems across products, partner with CX and product teams, and communicate impact clearly through metrics and demos.


You’ll be a great fit if you have:


  • A builder’s mindset — you self-start, break silos, and own projects from prototype to production.
  • 6+ years of building production ML or backend systems
  • Expert Python skills and strong backend foundations (FastAPI, gRPC, Postgres, streaming/pub-sub).
  • Proven experience with agent frameworks (ADK or similar) and retrieval-augmented generation (RAG) pipelines.
  • Deep understanding of LLM prompting, retrieval design, evaluation, and time-series analysis (forecasting, drift, change-point detection).
  • Cloud proficiency across GCP, AWS, or Azure — including networking, autoscaling, CI/CD, IaC, observability, and cost optimisation.
  • Comfort with AI-native dev tools such as Cursor, v0, or Claude Code.
  • Clear communication — you write concise docs, align teams, and make complex results understandable.


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