Senior Agentic AI Engineer

Position Summary The Digital X is seeking an experienced, highly technical, and accomplished Senior Agentic AI Engineer (Forward Deployed Engineer) with professional software engineering, multi-agent systems, and Generative AI development experience to join our high-impact technology team on a full-time permanent basis in Dubai, UAE. In this specialized artificial intelligence engineering role, you will spearhead developing, deploying, and optimizing advanced AI agents, multi-agent systems, and Generative AI applications that deliver real business impact. You will work closely with enterprise data scientists, software architects, and client stakeholders to deliver production-grade AI applications. Ideal candidates bring a robust academic degree in computer science or software engineering, deep practical mastery of Python, PyTorch, LangChain, vector databases, and immediate availability for deployment in Dubai. Detailed

Job Description
As a Senior Agentic AI Engineer (FDE) at The Digital X in Dubai, UAE, you will take full ownership of end-to-end AI agent implementation, backend API integration, model fine-tuning, and containerized deployment automation. Your day-to-day responsibilities encompass engineering resilient multi-agent frameworks, integrating Retrieval-Augmented Generation (RAG) pipelines, containerizing workloads with Docker and Kubernetes, and optimizing inference performance. You will collaborate proactively with cross-functional software engineering squads to troubleshoot production defects, perform code reviews, and deliver high-quality AI solutions on schedule. Working in a fast-paced technology consulting environment, you will drive engineering excellence, artificial intelligence innovation, and client satisfaction.

Key Responsibilities
- Design, develop, test, and deploy enterprise-grade AI agents, multi-agent systems, and Generative AI applications.
- Spearhead frontend and backend integration for AI-powered web applications utilizing Python, FastAPI, and TypeScript.
- Build high-performance LLM integration pipelines, prompt chaining mechanisms, and autonomous agent workflows.
- Manage, tune, and optimize vector databases (Pinecone, Milvus, Qdrant) and semantic search indexes.
- Configure, administer, and maintain containerized deployment environments utilizing Docker, Kubernetes, and cloud infrastructure (AWS/Azure/GCP).
- Oversee end-to-end software configuration management, git version control workflows, and automated MLOps CI/CD pipelines.
- Direct unit testing, integration testing, and automated test-driven development (TDD) for AI models and microservices.
- Collaborate proactively with cross-functional software engineering squads, QA teams, and enterprise client stakeholders in Dubai.
- Troubleshoot complex AI inference incidents, perform root-cause analysis, and execute rapid performance optimizations.
- Ensure strict adherence to corporate coding standards, security baselines, and software engineering best practices. Required Qualifications & Skills
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
- Minimum 6+ years of professional software engineering and AI development experience.
- Strong technical proficiency and hands‑on operational mastery of Python, PyTorch, LangChain, AutoGen, and CrewAI.
- Extensive practical experience building and deploying generative AI applications, LLM integrations, and RAG pipelines.
- Proven proficiency in designing and consuming RESTful APIs, microservices architectures, and vector databases.
- Hands‑on experience with containerization and orchestration platforms (Docker, Kubernetes).
- Strong operational mastery of git version control, build tools, and Agile/Scrum delivery methodologies.
- Professional availability for full-time permanent employment in Dubai, UAE. Nice-to-Have Skills
- Professional certifications such as AWS Certified Machine Learning Specialty or Azure AI Engineer Associate.
- Hands‑on experience with cloud‑native MLOps tooling (MLflow, Kubeflow, Weights & Biases).
- Prior working experience in tier-1 artificial intelligence startups, technology consulting firms, or SaaS companies in the GCC.
- Advanced performance tuning experience for high-throughput distributed AI backend systems.
- Bilingual proficiency in English and Arabic. Recruitment Pro Tip When applying for senior Agentic AI engineering roles in Dubai, ensure your resume explicitly highlights your multi-agent architecture depth, vector database optimization, and production deployment track record. Salary/Rate: Competitive market rate commensurate with experience Deadline: Open until filled Notice Period: Immediate to short notice preferred Contract Duration: Permanent / Full-Time Onsite (Dubai, UAE)