Applied AI Engineer
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Key skills for this role
About the Role
We are seeking an Applied AI Engineer to design and deploy production-grade AI applications powered by large language models, retrieval systems, and agent-based workflows. You will build end-to-end systems, develop scalable APIs, and collaborate with cross-functional teams.
Key Skills for This Role
Responsibilities
- Design and deploy production grade AI applications powered by large language models, including assistants, copilots, and automation tools
- Build advanced agent based systems capable of multi step reasoning, planning, and tool integration
- Develop end to end retrieval augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimization
- Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
- Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
- Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
- Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
- Collaborate with cross functional teams to deliver reliable, high performance AI systems
Requirements
- 7+ years of experience in Applied AI, machine learning engineering, or software engineering
- Strong programming skills in Python with solid software engineering fundamentals
- Proven experience building and deploying AI/ML systems in production
- Hands on experience with large language models and deploying LLM powered applications
- Strong understanding of production AI challenges including latency, reliability, and model behavior
- Experience designing scalable, reliable, and high performance systems
Full Job Posting
Discover the Opportunity
- We are partnering with a major enterprise in Abu Dhabi building next generation AI capabilities for large scale, real world systems.
- This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities.
- The team focuses on cutting edge technologies including large language models, retrieval systems, and agent based workflows.
Discover the Role
- As an Applied AI Engineer, you will design and deliver end to end AI powered applications at the intersection of AI engineering, software development, and product delivery.
- You will take ownership of building robust, production ready systems leveraging modern AI capabilities.
Discover the Responsibilities
- Design and deploy production grade AI applications powered by large language models, including assistants, copilots, and automation tools.
- Build advanced agent based systems capable of multi step reasoning, planning, and tool integration.
- Develop end to end retrieval augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimization.
- Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms.
- Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality.
- Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics.
- Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities.
- Collaborate with cross functional teams to deliver reliable, high performance AI systems.
Discover the Requirements
- 7+ years of experience in Applied AI, machine learning engineering, or software engineering roles.
- Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimization.
- Proven experience building and deploying AI/ML systems in production environments.
- Hands on experience working with large language models and deploying LLM powered applications.
- Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behavior.
- Experience designing scalable, reliable, and high performance systems.
Preferred Experience
- Experience building RAG systems end to end, including retrieval pipelines and vector search.
- Familiarity with agent based frameworks such as LangChain, LangGraph, AutoGen, or similar.
- Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection.
- Exposure to conversational AI systems, including speech or real time interaction pipelines.
- Experience working with modern AI inference infrastructure and deployment environments.
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