AI Engineer
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Key skills for this role
About the Role
Contract duration: 6 months (with a potential extension) Engagement Type: Full-time Start date: July 2026 Location: Abu Dhabi (on-site) Role Overview We are seeking an experienc.
Key Skills for This Role
Responsibilities
- Design and deliver end to end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services
- Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re ranking, and context window optimization
- Design and orchestrate agentic workflows for reasoning, planning, and task execution
- Build evaluation and observability: define metrics (accuracy, latency, cost per task), run eval pipelines, and monitor systems in production
- Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams
- Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms
- Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization
- Translate business problems into AI solutions and communicate model capabilities, limitations, and trade offs clearly to clients and stakeholders
- Maintain technical documentation, runbooks, and delivery artifacts across Design & Align, Build, UAT, Production & Hypercare
Requirements
- Experience designing, building, and deploying production grade AI systems, primarily LLM powered applications, RAG pipelines, and agentic workflows
- Solid software and data engineering foundations
- Ability to translate business problems into AI solutions and communicate clearly to clients and stakeholders
- Experience with cloud platforms and secure backend APIs
Full Job Posting
Role Overview
- Contract duration: 6 months (with a potential extension). Engagement Type: Full time. Start date: July 2026. Location: Abu Dhabi (on site).
- We are seeking an experienced AI Engineer to design, build, and deploy production grade AI systems primarily LLM powered applications, RAG pipelines, and agentic workflows that solve real client business problems in the UAE.
- The role combines applied AI expertise with solid software and data engineering foundations, with hands on ownership from prototype to production and hypercare.
Key Responsibilities
- Design and deliver end to end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
- Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re ranking, and context window optimization.
- Design and orchestrate agentic workflows for reasoning, planning, and task execution.
- Build evaluation and observability: define metrics (accuracy, latency, cost per task), run eval pipelines, and monitor systems in production.
- Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
- Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
- Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
- Translate business problems into AI solutions and communicate model capabilities, limitations, and trade offs clearly to clients and stakeholders.
- Maintain technical documentation, runbooks, and delivery artifacts across Design & Align, Build, UAT, Production & Hypercare.
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