AI Engineer
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Key skills for this role
About the Role
AppliedAI in Abu Dhabi seeks an AI Engineer to develop and optimize AI infrastructure for the Opus platform. The role involves building inference pipelines, prompt alignment, and ensuring reliable AI features in a cross-functional team.
Key Skills for This Role
Responsibilities
- Develop and maintain AI inference and orchestration pipelines used in production
- Optimize model serving performance, latency, and reliability across live systems
- Implement observability, logging, and monitoring for AI components
- Contribute to prompt and alignment improvements to enhance response quality
- Refactor existing code for modularity, clarity, and maintainability
- Collaborate with senior engineers and product teams to deliver stable, user facing AI features
- Participate in design reviews, testing, and rollout of new systems
Requirements
- 2 4 years of experience in ML or backend engineering
- 1+ years working on LLM prompt design, model behavior shaping, or symbolic product logic integration
- Strong Python programming skills and understanding of production ML systems
- Familiarity with orchestration tools (Airflow, Celery, Kubernetes) and cloud environments (AWS, GCP, Azure)
- Experience deploying and monitoring inference pipelines (e.g., LLMs, CV models, or similar APIs)
- Knowledge of observability tools and performance debugging
Full Job Posting
Job Description
- AI Engineer role at AppliedAI in Abu Dhabi, working on the Opus Knowledge Work AI platform.
- Contribute to development, optimization, and reliability of Opus's AI infrastructure.
Key Responsibilities
- Develop and maintain AI inference and orchestration pipelines
- Optimize model serving performance, latency, and reliability
- Implement observability, logging, and monitoring for AI components
- Contribute to prompt and alignment improvements
- Refactor existing code for modularity and maintainability
- Collaborate with senior engineers and product teams
- Participate in design reviews, testing, and rollout
Qualifications
- 2 4 years of experience in ML or backend engineering
- 1+ years working on LLM prompt design, model behavior shaping, or symbolic product logic integration
- Strong Python programming skills and understanding of production ML systems
- Familiar with orchestration tools (Airflow, Celery, Kubernetes) and cloud environments (AWS, GCP, Azure)
- Experience deploying and monitoring inference pipelines
- Knowledge of observability tools and performance debugging
Why Join AppliedAI
- Opportunity to work with a highly innovative AI technology company
- Collaborative and innovative work environment
- Growing, entrepreneurial and forward thinking culture
- Career growth and professional development opportunities
- Exposure to a thriving ecosystem working from Abu Dhabi HQ
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