Senior Machine Learning Engineer
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Key skills for this role
About the Role
AppliedAI seeks a Senior Machine Learning Engineer to design and evolve AI serving and orchestration pipelines for its Opus Knowledge Work AI platform. You will guide a multidisciplinary team, improve runtime latency and reliability, and ensure consistent model behavior across user-facing features.
Key Skills for This Role
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
Requirements
- 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 (e.g. 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
Full Job Posting
Role Overview
- As a Senior ML Engineer, you’ll play a key role in the design, evolution, and delivery of Opus’s end to end AI infrastructure, spanning model serving, orchestration, prompt alignment, workflow intelligence, and agent systems.
- Your mission is to ensure that every AI powered feature across the platform operates with reliability, clarity, and measurable excellence in both performance and user experience.
- You will guide a multidisciplinary UAE based team of engineers working across model pipelines, workflow representations, and agentic frameworks.
Key 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.
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 (e.g. 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.
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 our Abu Dhabi HQ.
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