Senior AI Engineer: Real-Time AI Serving & Orchestration

AppliedAI; Abu Dhabi; On-site; AED 300,000 - 540,000; Full time

Benefits offered by this job

Career growth

On-site work in Abu Dhabi

Professional development opportunities

Job summary

AppliedAI, a UAE-based AI technology company, seeks a Senior AI Engineer to design, evolve, and deliver end-to-end AI infrastructure for Opus. You will oversee model serving, orchestration, prompt alignment, and agent systems, ensuring reliability and measurable performance.

You will lead a multidisciplinary UAE-based team across model pipelines, workflow representations, and agentic frameworks to connect foundational models with real-world user interactions.

Qualifications

• 3–5 years in ML engineering, ideally within a SaaS/product organisation.
• Expert in Python.
• Strong background in real-time model serving, orchestration (Airflow, Celery, Kubernetes), and observability systems.
• Familiarity with LLM pipelines, workflow modeling, and agent-based AI frameworks.
• Experience deploying and optimizing inference pipelines (LLMs, CV or similar APIs).
• Skilled in monitoring, benchmarking, and system observability.
• Experience mentoring engineers and managing cross-functional delivery cycles.
• Proven ability to translate complex AI systems into reliable, scalable, and high-quality user-facing products.
• Experience improving LLM response consistency and user-facing reliability.
• Bonus: Experience building and deploying chatbots or conversational AI systems that integrate LLMs, APIs, and user interaction flows.

Responsibilities

• Design and evolve high-performance AI serving and orchestration pipelines.
• Refactor existing systems for clarity, modularity, and maintainability.
• Improve runtime latency, reliability, and quality metrics across live AI features.
• Build observability and error-tracking layers to detect regressions before they reach users.
• Guide prompt and alignment strategies, ensuring consistent model behavior and semantic fidelity across all user-facing features.
• Collaborate with product teams to ensure AI responses meet quality, stability, and response-time targets.
• Uphold engineering standards across performance, documentation, and code quality.
• Lead design reviews, incident analysis, and optimization cycles across Opus AI modules.

Skills

Python

Real-time serving

Airflow

Celery

Kubernetes

LLM pipelines

Workflow modeling

Agent AI frameworks

Observability

Mentoring engineers

Cross-functional delivery

Tools

Airflow

Celery

Kubernetes

Observability tools

Job description

AppliedAI, a UAE-based AI technology company, seeks a Senior AI Engineer to design, evolve, and deliver end-to-end AI infrastructure for Opus. You will oversee model serving, orchestration, prompt alignment, and agent systems, ensuring reliability and measurable performance.

You will lead a multidisciplinary UAE-based team across model pipelines, workflow representations, and agentic frameworks to connect foundational models with real-world user interactions.