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Senior Software Engineer, Machine Learning Platform & Generative AI (Dubai)

oryxsearch.io United Kingdom
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join oryxsearch.io as a Senior Software Engineer in Dubai, focusing on building scalable ML platforms and GenAI applications. This hands-on technical leadership role involves designing infrastructure, developing innovative AI services, and promoting MLOps best practices. Requires 7+ years of experience, strong GenAI/ML platform expertise, and cloud infrastructure knowledge.

Key Highlights
Design and implement scalable services, APIs, and workflows for GenAI features.
Collaborate on flagship GenAI applications like RAG systems and AI copilots.
Define and evolve platform architecture for reliability, scalability, and cost-efficiency.
Build platform capabilities including prompt versioning, evaluation dashboards, and feedback systems.
Promote MLOps best practices and responsible AI.
Mentor team members and contribute to engineering excellence.
Collaborate with cross-functional teams (product, design, data science).
Technical Skills Required
Python Java Go Generative AI ML Infrastructure Transformer Models Embeddings RAG Pipelines Vector Databases Pinecone Milvus Weaviate Semantic Search Cloud Infrastructure Networking Security CI/CD Observability AWS GCP ML Platforms MLOps
Benefits & Perks
Relocation assistance (physical relocation required)

Job Description


Senior Software Engineer – ML Platform & GenAI [Dubai Based]


As part of the Machine Learning Platform & Generative AI Applications team, this role sits at the intersection of engineering, data science, and product development. The team builds the foundational tools that power intelligent and engaging user experiences across multiple business verticals.


This is an exciting opportunity for a Senior Software Engineer with expertise in GenAI and platform engineering to contribute as a hands-on technical leader. You will help shape the next generation of AI-driven services by building scalable infrastructure and driving innovative applications from concept to production.



Key Responsibilities

  • Design and implement scalable services, APIs, and workflows to support GenAI-driven feature development.
  • Collaborate on flagship GenAI applications, such as:
  • Retrieval-Augmented Generation (RAG) powered support systems
  • AI copilots for partners or drivers
  • Marketplace-level forecasting and decision-support tools
  • Define and evolve platform architecture to ensure reliability, scalability, cost-efficiency, and security.
  • Build platform capabilities such as:
  • Prompt versioning
  • Evaluation dashboards
  • Real-time user feedback systems
  • Promote MLOps best practices and responsible AI by establishing robust monitoring, guardrails, and launch protocols.
  • Mentor team members and contribute to a culture of engineering excellence through code reviews, workshops, and knowledge sharing.
  • Collaborate with cross-functional teams including product managers, designers, and data scientists to translate high-level ideas into executable engineering tasks.


Qualifications & Requirements

  • 7+ years of professional experience in software engineering with strong design principles and system architecture knowledge.
  • Proficiency in programming languages such as Python, Java, Go, or similar.
  • Experience working with Generative AI and ML infrastructure, including:
  • Fine-tuning transformer models
  • Managing embeddings
  • Building RAG pipelines
  • Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques.
  • Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability.
  • Experience with cloud platforms (AWS, GCP, etc.) or database internals.
  • Proven track record of delivering end-to-end projects and mentoring engineers.
  • Direct experience with ML platforms and MLOps is required.


Please note - this position is based on-site in Dubai UAE and will require physical relocation.


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